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KEEL is a software tool to assess evolutionary algorithms for Data Mining problems of various kinds including regression, classification, unsupervised learning, etc.

 

               Publications by F. Herrera

Number Of Publications: 736 Jump to Graph

Jump to Year: 2015 (7), 2014 (49), 2013 (32), 2012 (51), 2011 (40), 2010 (56), 2009 (62), 2008 (35), 2007 (39), 2006 (26), 2005 (34), 2004 (39), 2003 (39), 2002 (40), 2001 (26), 2000 (30), 1999 (19), 1998 (15), 1997 (22), 1996 (21), 1995 (20), 1994 (12), 1993 (10), 1992 (7), 1991 (5)

Bolita Year 2015 (7):

Bolita[1811] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera, DRCW-OVO: Distance-based Relative Competence Weighting Combination for One-vs-One Strategy in Multi-class Problems. Pattern Recognition 48 (2015), 28-42, doi: 10.1016/j.patcog.2014.07.023. iconPdf.png

Bolita[1813] S. Elhag, A. Fernandez, A. Bawakid, S. Alshomrani, F. Herrera, On the Combination of Genetic Fuzzy Systems and Pairwise Learning for Improving Detection Rates on Intrusion Detection Systems. Expert Systems with Applications 42:1 (2015) 193–202, doi: 10.1016/j.eswa.2014.08.002. iconPdf.png

Bolita[1824] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera, SMOTE–IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Information Sciences 291 (2015) 184-203, doi: 10.1016/j.ins.2014.08.051. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1819] S. Alshomrani, A. Bawakid, S.-O. Shim, A. Fernandez, F. Herrera, A Proposal for Evolutionary Fuzzy Systems using Feature Weighting: Dealing with Overlapping in Imbalanced Datasets. Knowledge-Based Systems 73 (2015) 1-17, doi: 10.1016/j.knosys.2014.09.002. iconPdf.png

Bolita[1734] V. López, S. Río, J.M. Benítez, F. Herrera, Cost-Sensitive Linguistic Fuzzy Rule Based Classification Systems under the MapReduce Framework for Imbalanced Big Data. Fuzzy Sets and Systems 258 (2015) 5-38, doi: 10.1016/j.fss.2014.01.015. iconPdf.png

Bolita In Press:

Bolita[1834] H. Bustince, J. Fernandez, H. Hagras, F. Herrera, Interval Type-2 Fuzzy Sets are generalization of Interval-Valued Fuzzy Sets: Towards a Wider view on their relationship. IEEE Transactions on Fuzzy Systems (2015) doi: 10.1109/TFUZZ.2014.2362149, in press (2015).

Bolita[1843] M. Elkano, M. Galar, J.A. Sanz, A. Fernandez, E. Barrenechea, F. Herrera, H. Bustince, Enhancing multi-class classification in FARC-HD fuzzy classifier: On the synergy between n-dimensional overlap functions and decomposition strategies. IEEE Transactions on Fuzzy Systems, doi: 10.1109/TFUZZ.2014.2370677 , in press (2015). iconPdf.png

Bolita Year 2014 (49):

Bolita[1791] José A. Sáez, J. Derrac, J. Luengo, F. Herrera, Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognition 47:12 (2014) 3941–3948, doi: 10.1016/j.patcog.2014.06.012. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1794] J. Derrac, S. García, S. Hui, P. N. Suganthan, F. Herrera, Analyzing convergence performance of evolutionary algorithms: A statistical approach. Information Sciences 289 (2014) 41-58. COMPLEMENTARY MATERIAL to the paper here. doi: 10.1016/j.ins.2014.06.009. iconPdf.png

Bolita[1742] S. Río, V. López, J.M. Benítez, F. Herrera, On the use of MapReduce for Imbalanced Big Data using Random Forest. Information Sciences 285 (2014) 112-137, doi: 10.1016/j.ins.2014.03.043. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1810] A. Fernandez, S. Río, V. López, A. Bawakid, M.J. del Jesus, J.M. Benítez, F. Herrera, Big Data with Cloud Computing: An Insight on the Computing Environment, MapReduce and Programming Frameworks. WIREs Data Mining and Knowledge Discovery 4:5 (2014) 380-409, doi: 10.1002/widm.1134. iconPdf.png

Bolita[1708] F. Charte Ojeda, A. Rivera, M.J. del Jesus, F. Herrera, LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multi-label Classification. IEEE Transactions on Neural Networks and Learning Systems, 25:10 (2014) 1842-1854, doi: 10.1109/TNNLS.2013.2296501. iconPdf.png

Bolita[1772] V. Bolón-Canedo, N. Sánchez-Maroño, A. Alonso-Betanzos, J.M. Benítez, F. Herrera, A review of microarray datasets and applied feature selection methods. Information Sciences 282 (2014) 111-135, doi: 10.1016/j.ins.2014.05.042. iconPdf.png

Bolita[1789] F.J. Estrella, M. Espinilla, F. Herrera, L. Martínez, FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions. Information Sciences 280 (2014) 152-170, doi: 10.1016/j.ins.2014.04.049. iconPdf.png

Bolita[1773] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera, Preprocessing Noisy Imbalanced Datasets using SMOTE enhanced with Fuzzy Rough Prototype Selection. Applied Soft Computing 22 (2014) 511-517, doi: 10.1016/j.asoc.2014.05.023. iconPdf.png

Bolita[1828] José A. Sáez, J. Luengo, Jerzy Stefanowski, F. Herrera, Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. Intelligent Data Engineering and Automated Learning 2014 (IDEAL 2014), Lecture Notes in Computer Science Volume 8669, 2014, pp 61-68. iconPdf.png

Bolita[1732] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera, METSK-HDe: A Multiobjective Evolutionary Algorithm to learn accurate TSK-fuzzy Systems in High-Dimensional and Large-Scale Regression Problems. Information Sciences 276 (2014) 63-79, doi: 10.1016/j.ins.2014.02.047.

Bolita[1816] M. Fazzolari, R. Alcalá, F. Herrera, A Multi-Objective Evolutionary Method for Learning Granularities based on Fuzzy Discretization to Improve the Accuracy-Complexity trade-off of Fuzzy Rule-Based Classification Systems: D-MOFARC Algorithm. Applied Soft Computing 24 (2014) 470-481. iconPdf.png

Bolita[1817] L. S. Riza, Andrzej Janusz, C. Bergmeir, C. Cornelis, F. Herrera, Dominik Slezak, J.M. Benítez , Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Information Sciences 287 (2014) 68-89.

Bolita[1803] V. López, S. Río, J.M. Benítez, F. Herrera, On the use of MapReduce to build Linguistic Fuzzy Rule Based Classification Systems for Big Data. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp. 1905-1912, 6-11 July, 2014. iconPdf.png

Bolita[1804] P. Villar, A.M. Sánchez, R. Montes, F. Herrera, Designing a compact Genetic Fuzzy Rule-Based System for One-Class Classification. 2014 IEEE World Congress on Computational Intelligence (WCCI 2014). IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2014), Beijing (China), pp.2163-2170, july 6-11, 2014. iconPdf.png

Bolita[1806] I. Triguero, D. Peralta, J. Bacardit, S. García,F. Herrera, A Combined MapReduce-Windowing Two-Level Parallel Scheme for Evolutionary Prototype Generation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp. 3036-3043, 2014.

Bolita[1807] B. Krawczyk, I. Triguero, S. García, M. Wozniak, F. Herrera, A First Attempt on Evolutionary Prototype Reduction for Nearest Neighbor One-Class Classification.. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2014, Beijing (China), 6-11 July, pp 747-753, 2014.

Bolita[1809] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera, Enhancing Difficult Classes in One-vs-One Classifier Fusion Strategy using Restricted Equivalence Functions. In Proceedings of the 17th International Conference on Information Fusion (FUSION'2014), SS07-DMKDIF, pp. 1-8 Salamanca (Spain), 7-10 July 2014. iconPdf.png

Bolita[1812] D. Molina, B. Lacroix, F. Herrera, Influence of Regions on the Memetic Algorithm for the Special Session on Real-Parameter Single Objetive Optimisation. In Proceeding on the WCCI 2014 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Beijing (China), 6-11 July, 2014, pp. 1633-1640..

Bolita[1642] I. Palomares, L. Martínez, F. Herrera, A Consensus Model to Detect and Manage Non-Cooperative Behaviors in Large Scale Group Decision Making. IEEE Transactions on Fuzzy Systems 22:3 (2014) 516–530, doi: 10.1109/TFUZZ.2013.2262769. iconPdf.png

Bolita[1782] A. Fernandez, D. Peralta, J.M. Benítez, F. Herrera, E-learning and educational data mining in cloud computing: an overview. International Journal of Learning Technology, 9:1 (2014) 25-52. iconPdf.png

Bolita[1792] José A. Sáez, J. Derrac, J. Luengo, F. Herrera, Improving the behavior of the nearest neighbor classifier against noisy data with feature weighting schemes. Hybrid Artificial Intelligent Systems 2014 (HAIS 2014), Lecture Notes in Computer Science Volume 8480, 2014, pp 597–606. iconPdf.png

Bolita[1709] M, Galar, A. Fernandez, E. Barrenechea, F. Herrera, Empowering difficult classes with a Similarity-based aggregation in multi-class classification problems. Information Sciences 264 (2014) 135-157, doi: 10.1016/j.ins.2013.12.053. iconPdf.png

Bolita[1766] C.J. Carmona, P. González, M.J. del Jesus, F. Herrera, Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowledge Discovevery 4 (2014), 87-103 doi: 10.1002/widm.1118. iconPdf.png

Bolita[1763] R. M. Rodríguez, L. Martínez, V. Torra, Z.S. Xu, F. Herrera, Hesitant Fuzzy Sets: State of the Art and Future Directions. International Journal of Intelligent Systems 29 (2014) 495-524, doi: 10.1002/int.21654. iconPdf.png

Bolita[1698] J. Derrac, S. García, F. Herrera, Fuzzy Nearest Neighbor Algorithms: Taxonomy, Experimental analysis and Prospects . Information Sciences 260 (2014) 98-119, doi: 10.1016/j.ins.2013.10.038COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[1736] D.S. Tarragó, C. Cornelis, R. Bello, F. Herrera, A Multi-Instance Learning Wrapper based on the Rocchio Classifier for Web Index Recommendation. Knowledge-Based Systems 59 (2014) 173-181, doi: 10.1016/j.knosys.2014.01.008 .

Bolita[1741] Nicolás Robinson-García, Daniel Torres-Salinas, Emilio Delgado López-Cózar, F. Herrera, An insight into the importance of national university rankings in an international context: The case of the I-UGR Rankings of Spanish universities. Scientometrics 101 (2014) 1309–1324, doi: 10.1007/s11192-014-1263-1.

Bolita[1659] I. Palomares, L. Martínez, F. Herrera, MENTOR: A Graphical Monitoring Tool of Preferences Evolution in Large-Scale Group Decision Making. Knowledge-based Systems 58 (2014) 66–74 doi: 10.1016/j.knosys.2013.07.003. iconPdf.png

Bolita[1646] I. Triguero, José A. Sáez, J. Luengo, S. García, F. Herrera, On the Characterization of Noise Filters for Self-Training Semi-Supervised in Nearest Neighbor Classification. Neurocomputing 132 (2014) 30-41, doi: 10.1016/j.neucom.2013.05.055 .

Bolita[1672] V. López, A. Fernandez, F. Herrera, On the Importance of the Validation Technique for Classification with Imbalanced Datasets: Addressing Covariate Shift when Data is Skewed. Information Sciences 257 (2014) 1-13, doi: 10.1016/j.ins.2013.09.038. iconPdf.png

Bolita[1588] V. López, I. Triguero, C.J. Carmona, S. García, F. Herrera, Addressing Imbalanced Classification with Instance Generation Techniques: IPADE-ID. Neurocomputing 126 (2014) 15-28, doi: 10.1016/j.neucom.2013.01.050. iconPdf.png

Bolita[1716] P. Villar, A.M. Sánchez, R. Montes, F. Herrera, Diseño de un Sistema de Clasificación Basado en Reglas Difusas para one-class mediante el aprendizaje genético de la base de datos. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 621-626, 5-7 Febrero, 2014. iconPdf.png

Bolita[1674] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera, A New Multi-Objective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Transactions on Evolutionary Computation 18:1 (2014) 54-69, doi: 10.1109/TEVC.2013.2285016.

Bolita[1805] R. Montes, A.M. Sánchez, P. Villar, F. Herrera , Aplicación del uso de valoraciones hesitant lingüísticas para una consultora de inmuebles. Actas del XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2014), Zaragoza (Spain), pp. 181-186, 5-7 Febrero, 2014. iconPdf.png

Bolita[1673] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera, QAR-CIP-NSGA-II: A New Multi-Objective Evolutionary Algorithm to Mine Quantitative Association Rules. Information Sciences 258 (2014) 1-28, doi: 10.1016/j.ins.2013.09.009. iconPdf.png

Bolita[1706] B. Lacroix, D. Molina, F. Herrera, Region based memetic algorithm for real-parameter optimisation. Information Sciences, 262 (2014) 15-31, doi: http://dx.doi.org/10.1016/j.ins.2013.11.032 . iconPdf.png

Bolita[1703] P.D. Gutiérrez, M. Lastra, F. Herrera, J.M. Benítez, A high performance fingerprint matching system for large databases based on GPU. IEEE Transactions on Information Forensics and Security 9:1 (2014) 62-71, doi: 10.1109/TIFS.2013.2291220.

Bolita[1670] D. Peralta, I. Triguero, R. Sanchez-Reillo, F. Herrera, J.M. Benítez, Fast Fingerprint Identification for Large Databases. Pattern Recognition 47:2 (2014) 588–602, COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. doi: 10.1016/j.patcog.2013.08.002.

Bolita[1764] I. Palomares, F.J. Estrella, L. Martínez, F. Herrera, Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Information Fusion 20 (2014) 252-271, doi: 10.1016/j.inffus.2014.03.002. iconPdf.png

Bolita[1818] D. Martín, A. Rosete, J. Alcalá-Fdez, F. Herrera, Un nuevo algoritmo Evolutivo Multi-Objetivo para la extracción de Reglas de Asociación Cuantitativas Positivas y Negativas. In: D.A. Pelta, R. Pérez, C. Cruz, J.L. Verdegay (eds.): Contribuciones en Soft Computing, Universidad de Granada, 2014, 1-16. ISBN 978-84-338-5672-2. iconPdf.png

Bolita[1740] D. Peralta, M. Galar, I. Triguero, O. Miguel-Hurtado, J.M. Benítez, F. Herrera, Minutiae Filtering to Improve Both Efficacy and Efficiency of Fingerprint Matching Algorithms. Engineering Applications of Artificial Intelligence, 32 (2014) 37-53, doi:10.1016/j.engappai.2014.02.016.

Bolita[1557] José A. Sáez, M. Galar, J. Luengo, F. Herrera, Analyzing the Presence of Noise in Multi-class Problems: Alleviating its Influence with the One-vs-One Decomposition. Knowledge and Information Systems 38:1 (2014) 179-206, doi: 10.1016/j.ins.2013.06.002. COMPLEMENTARY MATERIAL to the paper here.

Bolita In Press:

Bolita[1683] I. Triguero, S. García, F. Herrera, Self-Labeled Techniques for Semi-Supervised Learning: Taxonomy, Software and Empirical Study. Knowledge and Information Systems, COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. doi: 10.1007/s10115-013-0706-y, in press (2014).

Bolita[1790] F. Charte, A.J. Rivera, M.J. del Jesus, F. Herrera, Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing, in press (2014).

Bolita[1699] J. Luengo, F. Herrera, An automatic extraction method of the domains of competence for learning classifiers using data complexity measures. Knowledge and Information Systems, doi: 10.1007/s10115-013-0700-4, in press (2014).

Bolita[1769] I. Triguero, D. Peralta, J. Bacardit, S. García, F. Herrera, MRPR: A MapReduce Solution for Prototype Reduction in Big Data Classification. Neurocomputing, in press (2014).

Bolita[1815] Y. Dong, C.-C. Li, F. Herrera, An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level. Information Sciences, in press (2014).

Bolita[1814] J.A. Sanz, D. Bernardo, F. Herrera, H. Bustince, H. Hagras, A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications with Imbalanced Data. IEEE Transactions on Fuzzy Systems, in press (2014).

Bolita[1788] I. Triguero, S. García, F. Herrera, SEG-SSC: A Framework based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Transactions on Cybernetics, doi: 10.1109/TCYB.2014.2332003, in press (2014).

Bolita Year 2013 (32):

Bolita[1680] M. Fazzolari, B. Giglio, R. Alcalá, F. Marcelloni, F. Herrera, A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowledge-Based Systems 54 (2013) 32-41, doi: 10.1016/j.knosys.2013.07.011.

Bolita[1657] V. López, A. Fernandez, S. García, V. Palade, F. Herrera, An Insight into Classification with Imbalanced Data: Empirical Results and Current Trends on Using Data Intrinsic Characteristics. Information Sciences 250 (2013) 113-141, doi: 10.1016/j.ins.2013.07.007. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1748] N. Verbiest, C. Cornelis, F. Herrera, OWA-FRPS: A Prototype Selection method based on Ordered Weighted Average Fuzzy Rough Set Theory. Proceedings of the 14th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing (RSFDGrC 2013), LNAI 8170, p. 180-190, 2013.. iconPdf.png

Bolita[1655] José A. Sáez, M. Galar, J. Luengo, F. Herrera, Tackling the Problem of Classification with Noisy Data using Multiple Classifier Systems:Analysis of the Performance and Robustness. Information Sciences 247 (2013) 1-20, doi: 10.1016/j.ins.2013.06.002. COMPLEMENTARY MATERIAL to the paper here.

Bolita[1684] P. Villar, A.M. Sánchez, R. Montes, F. Herrera, Un Algoritmo Genético para aprendizaje de Sistemas de Clasificación Basados en Reglas Difusas dentro del paradigma one-class . Actas del IV Simposio sobre Lógica Fuzzy y Soft Computing, dentro del IV Congreso Español de Informática (CEDI 2013), Madrid (Spain), pp. 1105-1114, 17-20 de septiembre de 2013.

Bolita[1651] D. Martín, A. Rosete, J. Alcalá-Fdez and F. Herrera, MOPNAR: Algoritmo Evolutivo Multi-Objetivo para Extraer Reglas de Asociación Cuantitativas Positivas y Negativas. Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2013), Madrid (España), pp. 882-891, 17-20 Septiembre, 2013.

Bolita[1539] José A. Sáez, J. Luengo, F. Herrera, Predicting Noise Filtering Efficacy with Data Complexity Measures for Nearest Neighbor Classification. Pattern Recognition 46:1 (2013) 355-364, doi: 10.1016/j.patcog.2012.07.009. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1700] I. Triguero, S. García, F. Herrera, Tri-Training con sobremuestreo para aprendizaje semi-supervisado. Actas de la XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), Madrid (Spain), pp 149-158 , 17-20 Septiembre, 2013.

Bolita[1750] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera, Una debilidad de la estrategia Uno-contra-Uno en clasificación: Potenciando las clases difíciles. CAEPIA 2013 (CEDI 2013), Madrid (España), pp. 1333-1342, 17-20 Septiembre 2013. iconPdf.png

Bolita[1749] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera, Selección dinámica de clasificadores para la estrategia Uno-contra-Uno: Evitando los clasificadores no competentes. FINO 2013 (CEDI 2013), Madrid (España), pp. 1469-1478, 17-20 Septiembre 2013. iconPdf.png

Bolita[1835] D. Molina, Amilkar Puris, Rafael Bello, F. Herrera, Optimización basada en Malla Variable para funciones multimodales. Actas de la Multiconferencia CAEPIA 2013, IX Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB13), Madrid, 17-20 Septiembre 2013, pp 594-603..

Bolita[1743] José A. Sáez, Mikel Galar, J. Luengo, F. Herrera, An Experimental Case of Study on the Behavior of Multiple Classifier Systems with Class Noise Datasets. Hybrid Artificial Intelligent Systems 2013 (HAIS 2013), Lecture Notes in Computer Science Volume 8073, 2013, pp 568-577 .

Bolita[1705] S. Río, V. López, J.M. Benítez, F. Herrera, Aplicando Métodos de Aprendizaje Sensible al Coste para Mejorar Problemas de Big Data Extremadamente Desbalanceados Usando Random Forest. IV Congreso Español de Informática (CEDI 2013). XV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2013), Madrid (Spain), pp. 109-118, 17-20 September, 2013. iconPdf.png

Bolita[1570] D. Torres-Salinas, N. Robinson-García, E. Jiménez-Contreras, F. Herrera, E. Delgado López-Cózar , On the Use of Biplot Analysis for Multivariate Bibliometric and Scientific Indicators. Journal of the American Society for Information Science and Technology 64:7 (2013) 1468-1479. iconPdf.png

Bolita[1661] L.S. Riza, C. Bergmeir, F. Herrera, and J.M. Benítez, Constructing fuzzy rule-based systems with the R package frbs. Proceedings useR! 2013, July 10-12, Albacete (Spain).

Bolita[1676] M.J. Gacto, M. Galende, R. Alcalá, F. Herrera, Obtaining accurate TSK Fuzzy Rule-Based Systems by Multi-Objective Evolutionary Learning in high-dimensional regression problems. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-7, 7-10 July 2013.

Bolita[1704] V. López, A. Fernandez, F. Herrera, Addressing Covariate Shift for Genetic Fuzzy Systems Classifiers: A Case of Study with FARC-HD for Imbalanced Datasets. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad (India), pp. 1-8, 7-10 July 2013. iconPdf.png

Bolita[1663] B. Lacroix, D. Molina, F. Herrera, Dynamically updated region based memetic algorithm for the 2013 CEC Special Session and Competition on Real Parameter Single Objective Optimization. Evolutionary Computation (CEC), 2013 IEEE Congress on, Cancun (Mexico), pp 1945-1951. doi: 10.1109/CEC.2013.6557797.

Bolita[1587] J. Sanz, A. Fernandez, H. Bustince, F. Herrera, IVTURS: a linguistic fuzzy rule-based classification system based on a new Interval-Valued fuzzy reasoning method with TUning and Rule Selection. IEEE Transactions on Fuzzy Systems 21:3 (2013) 399-411, doi: 10.1109/TFUZZ.2013.2243153. iconPdf.png

Bolita[1664] D. Molina, Amilkar Puris, Rafael Bello, F. Herrera, Variable mesh optimization for the 2013 CEC Special Session Niching Methods for Multimodal Optimization. Actas en Evolutionary Computation (CEC), 2013 IEEE Congress on, Cancun (Mexico), pp 87-94, doi: 10.1109/CEC.2013.6557557.

Bolita[1634] N. Verbiest, C. Cornelis, F. Herrera, FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognition 46:10 (2013) 2770-2782 doi: 10.1016/j.patcog.2013.03.004. iconPdf.png

Bolita[1635] R. M. Rodriguez, L. Martínez, F. Herrera, A Group Decision Making Model Dealing with Comparative Linguistic Expressions based on Hesitant Fuzzy Linguistic Term Sets. Information Sciences 241 (2013) 28–42, doi: 10.1016/j.ins.2013.04.006. iconPdf.png

Bolita[1643] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera, Dynamic Classifier Selection for One-vs-One Strategy: Avoiding Non-Competent Classifiers. Pattern Recognition 46:12 (2013) 3412–3424, doi: j.patcog.2013.04.018. iconPdf.png

Bolita[1641] M. Galar, A. Fernandez, E. Barrenechea, F. Herrera, EUSBoost: Enhancing Ensembles for Highly Imbalanced Data-sets by Evolutionary Undersampling. Pattern Recognition 46:12 (2013) 3460–3471, doi: j.patcog.2013.05.006. iconPdf.png

Bolita[1469] S. García, J. Luengo, José A. Sáez, V. López, F. Herrera, A Survey of Discretization Techniques: Taxonomy and Empirical Analysis in Supervised Learning. IEEE Transactions on Knowledge and Data Engineering 25:4 (2013) 734-750, doi: 10.1109/TKDE.2012.35. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1682] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera, Improving a Fuzzy Association Rule-Based Classification Model by Granularity Learning based on Heuristic Measures over Multiple Granularities. 2013 IEEE International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2013), pp. 44-51, 2013.. iconPdf.png

Bolita[1675] J. Derrac, S. García, Sheldon Hui , F. Herrera, Ponnuthurai N. Suganthan, Statistical Analysis of Convergence Performance Throughout the Evolutionary Search: A Case Study with SaDE-MMTS and Sa-EPSDE-MMTS. 2013 IEEE Symposium on Differential Evolution (SDE), Singapore, pp. 151-156, April 16-19, 2013. iconPdf.png

Bolita[1537] J. Derrac, N. Verbiest, S. García, C. Cornelis, F. Herrera, On the use of Evolutionary Feature Selection for Improving Fuzzy Rough Set Based Prototype Selection. Soft Computing 17:2 (2013) 223-238, doi: 10.1007/s00500-012-0888-3. iconPdf.png

Bolita[1521] M. Fazzolari, R. Alcalá, Y. Nojima, H. Ishibuchi, F. Herrera, A Review of the Application of Multi-Objective Evolutionary Fuzzy Systems: Current Status and Further Directions. IEEE Transactions on Fuzzy Systems, 21:1 (2013) 45-65 doi: 10.1109/TFUZZ.2012.2201338. COMPLEMENTARY MATERIAL to the paper here: links to the papers with doi, new contributions, etc.. iconPdf.png

Bolita[1793] J. G. Moreno-Torres, José A. Sáez, F. Herrera, A methodology to improve single-experimet k-fold Cross-Validation by reducing the impact of related dataset shift. In Proceedings of the IV Congreso Español de Informática (CEDI 2013). VI Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2013), Madrid (Spain), 1393-1402, 2013..

Bolita[1594] A. Fernandez, V. López, M. Galar, M.J. del Jesus, F. Herrera, Analysing the Classification of Imbalanced Data-sets with Multiple Classes: Binarization Techniques and Ad-Hoc Approaches. Knowledge-Based Systems 42 (2013) 97-110, doi: 10.1016/j.knosys.2013.01.018. iconPdf.png

Bolita[1554] V. López, A. Fernandez, M.J. del Jesus, F. Herrera, A Hierarchical Genetic Fuzzy System Based On Genetic Programming for Addressing Classification with Highly Imbalanced and Borderline Data-sets. Knowledge-Based Systems 38 (2013) 85-104, doi: 10.1016/j.knosys.2012.08.025. iconPdf.png

Bolita Year 2012 (51):

Bolita[1518] J. A. García, R. Rodriguez-Sánchez, J. Fdez-Valdivia, D. Torres-Salinas, F. Herrera , Ranking of research output of universities on the basis of the multidimensional prestige of influential fields: Spanish universities as a case of study. Scientometrics 93:3 (2012) 681-698 doi: 10.1007/s11192-012-0740-7. iconPdf.png

Bolita[1434] E. Ramentol, Y. Caballero, R. Bello, F. Herrera, SMOTE-RSB*: A Hybrid Preprocessing Approach based on Oversampling and Undersampling for High Imbalanced Data-Sets using SMOTE and Rough Sets Theory. Knowledge and Information Systems 33:2 (2012) 245-265, doi: 10.1007/s10115-011-0465-6. iconPdf.png

Bolita[1556] N. Verbiest, E. Ramentol, C. Cornelis, F. Herrera, Improving SMOTE with Fuzzy Rough Prototype Selection to Detect Noise in Imbalanced Classification Data. Proceedings of the 13th Ibero-American Conference on Artificial Intelligence (IBERAMIA 2012), Lecture Notes in Artificial Intelligence (LNAI) 7637, pp. 169-178, Cartagena de Indias, (Colombia), November 13-16, 2012. iconPdf.png

Bolita[1522] J. Sanz, A. Fernandez, H. Bustince, F. Herrera, IIVFDT: Ignorance Functions based Interval-Valued Fuzzy Decision Tree with Genetic Tuning. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:2 (2012) 1-30, doi: 10.1142/S0218488512500195. iconPdf.png

Bolita[1514] J. Derrac, I. Triguero, S. García, F. Herrera, Integrating Instance Selection, Instance Weighting and Feature Weighting for Nearest Neighbor Classifiers by Co-evolutionary Algorithms. IEEE Transactions on Systems, Man, and Cybernetics-Part B: Cybernetics 42:5 (2012) 1383-1397, doi: 10.1109/TSMCB.2012.2191953 COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[1538] J. G. Moreno-Torres, José A. Sáez, F. Herrera, Study on the Impact of Partition-Induced Dataset Shift on k-fold Cross-Validation. IEEE Transactions on Neural Networks and Learning Systems 23:8 (2012) 1304-1312, doi: 10.1109/TNNLS.2012.2199516. COMPLEMENTARY MATERIAL to the paper here. iconPdf.png

Bolita[1552] E. Ramentol, N. Verbiest, R. Bello, Y. Caballero, C. Cornelis, F. Herrera, SMOTE-FRST: A new resampling method using fuzzy rough set theory. The 10th International FLINS Conference on uncertainty Modeling in Knowledge Engineering and Decision Making, August 26-29, Istanbul, Turkey, pp. 800-805.

Bolita[1542] D. Docampo, F. Herrera, T. Luque-Martínez, D. Torres-Salinas, Efecto de la agregación de universidades españolas en el Ranking de Shanghai (ARWU): caso de las comunidades autónomas y los campus de excelencia. El profesional de la información 21:4 (2012) 428-432, doi: 10.3145/epi.2012.jul.16. iconPdf.png

Bolita[1545] A. Fernandez, S. Río, F. Herrera, J.M. Benítez, An Overview on the Structure and Applications for Business Intelligence and Data Mining in Cloud Computing. 7th International Conference on Knowledge Management in Organizations: Service and Cloud Computing (KMO'12), Salamanca (Spain), pp. 559-570, 11-13 July 2012. iconPdf.png

Bolita[1546] A. Fernandez, D. Peralta, F. Herrera, J.M. Benítez, An Overview of E-Learning in Cloud Computing. Workshop on Learning Technology for Education in Cloud (LTEC'12), Salamanca (Spain), pp. 35-46, 11-13 Julio 2012. iconPdf.png

Bolita[1540] Rosa M. Rodríguez, L. Martínez, F. Herrera, Group Decision Making with Comparative Linguistic Terms. In Proceedings of the 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2012) Part I, July 9-13, Catania (Italy), Communications in Computers and Information Science 297, 181-190. iconPdf.png

Bolita[1530] I. Triguero, J. Derrac, S. García, F. Herrera, Integrating a Differential Evolution Feature Weighting scheme into Prototype Generation. Neurocomputing 97 (2012) 332-343, doi: 10.1016/j.neucom.2012.06.009. iconPdf.png

Bolita[1512] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, SciMAT: A new Science Mapping Analysis Software Tool. Journal of the American Society for Information Science and Technology 63:8, pp. 1609-1630 (2012) doi: 10.1002/asi.22688. SciMAT's website here. iconPdf.png

Bolita[1548] A. Puris, R. Bello, D. Molina, F. Herrera, Optimising real parameters using the information of a mesh of solutions: VMO algorithm. Actas del WCCI 2012 IEEE World Congress on Computational Intelligence, IEEE CEC, Brisbane (Australia), pp. 2553-2559, June 10-15, 2012. iconPdf.png

Bolita[1422] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera, A Review on Ensembles for Class Imbalance Problem: Bagging, Boosting and Hybrid Based Approaches. IEEE Transactions on System, Man and Cybernetics - Part C: Applications and Reviews 42:4 (2012) 463-484 doi: 10.1109/TSMCC.2011.2161285. iconPdf.png

Bolita[1442] H. Bustince, M. Pagola, R. Mesiar, E. Hullermeier, F. Herrera, Grouping, Overlap and Generalized Bi-Entropic Functions for Fuzzy Modeling of Pairwise Comparisons. IEEE Transactions on Fuzzy Systems 20:3 (2012) 405-415, doi: 10.1109/TFUZZ.2011.2173581. iconPdf.png

Bolita[1547] B. Lacroix, D. Molina, F. Herrera, Region Based Memetic Algorithm with LS chaining. Actas en WCCI 2012 IEEE World Congress on Computational Intelligence, IEEE CEC, Brisbane (Australia), pp. 1474-1479, Junio 10-15, 2012.. iconPdf.png iconPdf.png

Bolita[1485] V. López, A. Fernandez, J. G. Moreno-Torres, F. Herrera, Analysis of preprocessing vs. cost-sensitive learning for imbalanced classification. Open problems on intrinsic data characteristics. Expert Systems with Applications 39:7 (2012) 6585-6608, doi: 10.1016/j.eswa.2011.12.043. iconPdf.png

Bolita[1536] B. Giglio, F. Marcelloni, M. Fazzolari, R. Alcalá, F. Herrera, A Case Study on the Application of Instance Selection Techniques for Genetic Fuzzy Rule-Based Classifiers. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2012), Brisbane (Australia), pp. 920-927, 10-15 June 2012.

Bolita[1532] A. Fernandez, F. Herrera, Linguistic Fuzzy Rules in Data Mining: Follow-Up Mamdani Fuzzy Modeling Principle. In: Enric Trillas, Piero P. Bonissone, Luis Magdalena and Janusz Kacprzyk (eds.): Combining Experimentation and Theory A Hommage to Abe Mamdani. Studies in Fuzziness and Soft Computing 271, (2012) 103-122. iconPdf.png

Bolita[1430] J. Luengo, José A. Sáez, F. Herrera, Missing data imputation for Fuzzy Rule Based Classifi cation Systems. Soft Computing 16 (2012) 863–881 doi: 10.1007/s00500-011-0774-4 . iconPdf.png

Bolita[1516] J. Derrac, I. Triguero, S. García, F. Herrera , A Co-evolutionary Framework for Nearest Neighbor Enhancement: Combining Instance and Feature Weighting with Instance Selection. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 176-187. iconPdf.png

Bolita[1523] P. Villar, A. Fernandez, R.A. Carrasco, F. Herrera, Feature Selection and Granularity Learning in Genetic Fuzzy Rule-Based Classi cation Systems for Highly Imbalanced Data-Sets. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 20:3 (2012) 369-397, doi: S0218488512500195. iconPdf.png

Bolita[1428] J. Derrac, C. Cornelis, S. García, F. Herrera , Enhancing Evolutionary Instance Selection Algorithms by means of Fuzzy Rough Set based Feature Selection. Information Sciences 186:1 (2012) 73-92, doi: 10.1016/j.ins.2011.09.027 . iconPdf.png

Bolita[1517] José A. Sáez, M. Galar, J. Luengo, F. Herrera, A First Study on Decomposition Strategies with Data with Class Noise Using Decision Trees. In Proceedings of the Seventh International Conference on Hybrid Artificial Intelligence Systems (HAIS 2012), March 28-30, Salamanca (Spain), Lecture Notes in Computer Science 7209, 25-35. iconPdf.png

Bolita[1432] M.J. Cobo, A.G. López-Herrera, F. Herrera, E. Herrera-Viedma, A Note on the ITS Topic Evolution in the Period 2000–2009 at T-ITS. IEEE Transactions on Intelligent Transportation Systems, 13:1, pp. 413-420 (2012) doi: 10.1109/TITS.2011.2167968. iconPdf.png

Bolita[1429] J. Luengo, F. Herrera, Shared Domains of Competence of Approximative Models using Measures of Separability of Classes. Information Sciences 185:1 (2012) 43-65 doi: 10.1016/j.ins.2011.09.022 . iconPdf.png

Bolita[1452] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera, Aprendizaje Evolutivo de un Sistema Basado en Reglas Difusas para un Sistema de Control de Entrono por Medio de Puntero Láser. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 265-270, 1-3 Febrero 2012. iconPdf.png

Bolita[1478] M.J. Gacto, R. Alcalá, F. Herrera, Aprendizaje Evolutivo De Sistemas Aproximativos De Tipo TSK Para Problemas De Alta Dimensionalidad. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 295-300, 1-3 Febrero 2012.

Bolita[1431] R. Rodríguez, L. Martínez, F. Herrera, Hesitant Fuzzy Linguistic Terms Sets for Decision Making. IEEE Transactions on Fuzzy Systems 20:1 (2012) 109-119, doi: 10.1109/TFUZZ.2011.2170076. iconPdf.png

Bolita[1372] S. García, J. Derrac, I. Triguero, C.J. Carmona, F. Herrera, Evolutionary-Based Selection of Generalized Instances for Imbalanced Classification. Knowledge Based Systems 25:1 (2012) 3-12 doi: 10.1016/j.knosys.2011.01.012. iconPdf.png

Bolita[1336] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, G. Olague, F. Herrera, Hybrid Laser Pointer Detection Algorithm Based on Template Matching and Fuzzy Rule-Based Systems for Domotic Control in Real Home Enviroments. Applied Intelligence 36:2 (2012) 407-423, doi: 10.1007/s10489-010-0268-6. iconPdf.png

Bolita[1502] I. Triguero, J. Derrac, S. García, F. Herrera, Evolución Diferencial para Reducción de Prototipos y Ponderación de Características. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 267-274, Febrero 8-10, 2012. iconPdf.png

Bolita[1503] P.D. Gutiérrez, I. Triguero, F. Herrera, Algoritmos Basados en Nubes de Partículas y Evolución Diferencial para el Problema de Optimización Continua: Un estudio experimental. Actas del VIII Congreso Español sobre Metaheurística, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 144-156, Febrero 8-10, 2012. iconPdf.png

Bolita[1505] S. García, V. López, J. Luengo, C.J. Carmona, F. Herrera, A Preliminary Study on Selecting the Optimal Cut Points in Discretization by Evolutionary Algorithms. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 211-216, 6-8 February 2012. iconPdf.png

Bolita[1509] D. Molina, B. Lacroix, F. Herrera, Algoritmo Memético con regiones basado en encadenamiento de búsquedas locales. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 205-210, Febrero 8-10, 2012. iconPdf.png

Bolita[1504] J. Derrac, S. García, D. Molina, F. Herrera, Un tutorial sobre el uso de test estadísticos no paramétricos en comparaciones múltiples de metaheurísticas y algoritmos evolutivos. Actas del VIII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB12), Albacete (Spain), pp. 455-462, Febrero 8-10, 2012. iconPdf.png

Bolita[1498] José A. Sáez, J. Luengo, F. Herrera, Sistemas de clasificación basados en reglas difusas y sistemas nítidos robustos entrenados en presencia de ruido de clase: un caso de estudio. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 602-607, 1-3 Febrero 2012. iconPdf.png

Bolita[1500] V. López, A. Fernandez, M.J. del Jesus, F. Herrera, Un sistema de clasificación basado en reglas difusas jerárquico con programación genética para problemas de clasificación altamente no balanceados. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (Spain), pp. 313-318, 1-3 February 2012. iconPdf.png

Bolita[1501] V. López, A. Fernandez, M.J. del Jesus, F. Herrera, Cost Sensitive and Preprocessing for Classification with Imbalanced Data-sets: Similar Behaviour and Potential Hybridizations. 1st International Conference on Pattern Recognition Applications and Methods (ICPRAM2012), Vilamoura (Portugal), pp. 98-107, 6-8 February 2012. iconPdf.png

Bolita[1496] N. Verbiest, C. Cornelis, F. Herrera, Selección de Prototipos Basada en Conjuntos Rugosos Difusos. Proceedings of XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2012). iconPdf.png

Bolita[1541] Rosa M. Rodríguez, L. Martínez, F. Herrera, Modelo Lingüístico de Toma de Decisiones Multicriterio con Expresiones Lingüísticas Comparativas. XVI Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2012), Valladolid (España), pp. 217-223, 1-3 Febrero 2012. iconPdf.png

Bolita[1328] M.J. Gacto, R. Alcalá, F. Herrera, A Multi-Objective Evolutionary Algorithm for an Effective Tuning of Fuzzy Logic Controllers in Heating, Ventilating and Air Conditioning Systems. Applied Intelligence 36:2 (2012) 330-347, doi: 10.1007/s10489-010-0264-x . iconPdf.png

Bolita[1519] L. Martínez, F. Herrera, An overview on the 2-tuple linguistic model for Computing with Words in Decision Making: Extensions, applications and challenges. Information Sciences 207 (2012) 1-18 doi: 10.1016/j.ins.2012.04.025. iconPdf.png

Bolita[1408] J. Luengo, S. García, F. Herrera, On the choice of the best imputation methods for missing values considering three groups of classification methods. Knowledge and Information Systems 32:1 (2012) 77-108, doi:10.1007/s10115-011-0424-2 COMPLEMENTARY MATERIAL to the paper here: Software, data sets, results and methods description. iconPdf.png

Bolita[1433] Amilkar Puris, Rafael Bello, D. Molina, F. Herrera, Variable mesh optimization for continuous optimization problems. Soft Computing - A Fusion of Foundations, Methodologies and Applications (2012), 16(3), 511-525, doi: 10.1007/s00500-011-0753-9. iconPdf.png iconPdf.png

Bolita[1409] S. García, J. Derrac, J.R. Cano, F. Herrera, Prototype Selection for Nearest Neighbor Classification: Taxonomy and Empirical Study. IEEE Transactions on Pattern Analysis and Machine Intelligence 34:3 (2012) 417-435, doi: 10.1109/TPAMI.2011.142 COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[1425] J. G. Moreno-Torres, T. R. Raeder, R. Aláiz-Rodríguez, N. V. Chawla, F. Herrera, A unifying view on dataset shift in classification. Pattern Recognition 45:1 (2012) 521-530, doi:10.1016/j.patcog.2011.06.019. iconPdf.png

Bolita[1241] E. Pérez, M. Posada, F. Herrera, Analysis of New Niching Genetic Algorithms for Finding Multiple Solutions in the Job Shop Scheduling. Journal of Intelligent Manufacturing 23:3 (2012) 341-356, doi: 10.1007/s10845-010-0385-4. iconPdf.png

Bolita[1365] I. Triguero, J. Derrac, S. García, F. Herrera, A Taxonomy and Experimental Study on Prototype Generation for Nearest Neighbor Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 42 (1) (2012) 86-100, doi: 10.1109/TSMCC.2010.2103939. COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[1414] J. Marín, D. Molina, F. Herrera, Modeling Dynamics of a Real-coded CHC Algorithm in Terms of Dynamical Probability Distributions. Soft Computing 16:2 (2012) 331-351 doi: 10.1007/s00500-011-0745-9. iconPdf.png

Bolita Year 2011 (40):

Bolita[1486] R.M. Rodríguez, L. Martínez and F. Herrera, Hesitant Fuzzy Linguistic Term Sets. International Conference on Intelligent Systems and Knowledge Engineering, Shanghai, China, Dec 2011 (ISKE2011). Advances in Intelligent and Soft Computing, vol. 122, pp. 287-295, Springer, 2011.

Bolita[1329] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi, Multiobjective Genetic Fuzzy Rule Selection of Single Granularity-Based Fuzzy Classification Rules and its Interaction with the Lateral Tuning of Membership Functions. Soft Computing 15:12 (2011) 2303-2318, doi: 10.1007/s00500-010-0671-2 . iconPdf.png

Bolita[1449] Diana Martín, Alejandro Rosete, J. Alcalá-Fdez,F. Herrera, A Multi-Objective Evolutionary Algorithm for Mining Quantitative Association Rules. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain),pp. 1397-1402, 22–24 November 2011. iconPdf.png

Bolita[1453] José A. Sáez, J. Luengo, F. Herrera, Fuzzy Rule Based Classification Systems versus Crisp Robust Learners Trained in Presence of Class Noise's Effects: a Case of Study. 11th International Conference on Intelligent Systems Design and Applications (ISDA 2011), Córdoba (Spain), pp. 1229-1234, 22–24 November 2011.. iconPdf.png

Bolita[1470] D. Torres-Salinas, J G Moreno-Torres, N. Robinson-García, E. Delgado-López-Cózar, F. Herrera, Rankings ISI de las universidades españolas según campos y disciplinas científicas (2ª ed. 2011). El Profesional de la Información 20:6 (2011) 701-711. iconPdf.png

Bolita[1821] M. Lozano, D. Molina, F. Herrera, Editorial scalability of evolutionary algorithms and other metaheuristics for large-scale continuous optimization problems. Soft Computing 15:11 (2011) 2085-2087 10.1007/s00500-010-0639-2.

Bolita[1444] I. Triguero, J. Derrac, S. García, F. Herrera, Un esquema de Pesos basado en Evolución Diferencial para Generación de Prototipos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011. iconPdf.png

Bolita[1445] J. Derrac, S. García, C. Cornelis, F. Herrera, Una aplicación de conjuntos rugosos difusos en selección de características para la mejora de métodos de selección de instancias evolutivos. Actas de la XIV Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA11), Tenerife (Spain), November 7-11, 2011. iconPdf.png

Bolita[1439] I. Triguero, J. Derrac, S. García, F. Herrera, A Study of the Scaling up Capabilities of Stratified Prototype Generation. Third World Congress on Nature and Biologically Inspired Computing (NABIC'11), Salamanca (Spain), pp. 304-309, October 19-21, 2011. iconPdf.png

Bolita[1402] J. Alcalá-Fdez, R. Alcalá, F. Herrera, A Fuzzy Association Rule-Based Classification Model for High-Dimensional Problems with Genetic Rule Selection and Lateral Tuning. IEEE Transactions on Fuzzy Systems 19:5 (2011) 857-872 doi: 10.1109/TFUZZ.2011.2147794. iconPdf.png

Bolita[1323] D. Molina, M. Lozano, A.M. Sánchez, F. Herrera, Memetic Algorithms Based on Local Search Chains for Large Scale Continuous Optimisation Problems: MA-SSW-Chains . Soft Computing, 15 (2011) 2201-2220 doi: 10.1007/s00500-010-0647-2. iconPdf.png

Bolita[1373] J. Sanz, A. Fernandez, H. Bustince, F. Herrera, A Genetic Tuning to Improve the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets: Degree of Ignorance and Lateral Position 52:6 (2011) 751-766. International Journal of Approximate Reasoning, doi:10.1016/j.ijar.2011.01.011. iconPdf.png

Bolita[1484] E. Barrenechea, A. Fernandez, H. Bustince, F. Herrera, Construction of Interval-valued Fuzzy Preference Relations using Ignorance Functions. Interval-valued non dominance Criterion. Workshop on Fuzzy Methods for Knowledge-Based Systems, Eurofuse 2011. Advances in Intelligent and Soft Computing ASIC 107, Régua, Portugal, 21-23 Septiembre pp. 243-255 (2011). iconPdf.png

Bolita[1487] R.M. Rodríguez, L. Martínez and F. Herrera, A Multicriteria Linguistic Decision Making Model Dealing with Comparative Terms. Workshop on Fuzzy Methods for Knowledge-Based Systems, (Eurofuse 2011). Advances in Intelligent and Soft Computing ASIC, Régua, Portugal, 21-23 Septiembre. vol. 107, pp. 229-241, Springer, 2011. .

Bolita[1371] M. Galar, A. Fernandez, E. Barrenechea, H. Bustince, F. Herrera, An Overview of Ensemble Methods for Binary Classifiers in Multi-class Problems: Experimental Study on One-vs-One and One-vs-All Schemes. Pattern Recognition 44:8 (2011) 1761-1776, doi: 10.1016/j.patcog.2011.01.017. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[1380] R. Alcalá, M.J. Gacto, F. Herrera, A Fast and Scalable Multi-Objective Genetic Fuzzy System for Linguistic Fuzzy Modeling in High-Dimensional Regression Problems. IEEE Transactions on Fuzzy Systems doi: 10.1109/TFUZZ.2011.2131657 19:4 (2011) 666-681. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[1412] D. Torres-Salinas, J G Moreno-Torres, E. Delgado-López-Cózar, F. Herrera, A methodology for Institution-Field ranking based on a bidimensional analysis: the IFQ2A index. Scientometrics 88:3 (2011) 771-786. iconPdf.png

Bolita[1383] M.J. Gacto, R. Alcalá, F. Herrera, Interpretability of Linguistic Fuzzy Rule-Based Systems: An Overview of Interpretability Measures. Information Sciences, 181:20 (2011) 4340–4360 doi: 10.1016/j.ins.2011.02.021 COMPLEMENTARY MATERIAL to the paper here: links to the papers with doi, new contributions, etc..

Bolita[1421] P. Villar, A. Fernandez, F. Herrera, Studying the Behaviour of a Multiobjective Genetic Algorithm to Design Fuzzy Rule-Based Classification Systems for Imbalanced Data-sets. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1239-1246, Taipei (Taiwan) 27-30 June 2011. iconPdf.png

Bolita[1345] A. Fernandez, V. López, M.J. del Jesus, F. Herrera, On the Usefulness of Fuzzy Rule Based Systems based on Hierarchical Linguistic Fuzzy Partitions. In: W. Pedrycz, S.-M. Chen (Eds.) Granular Computing and Intelligent Systems: Design with Information Granules of Higher Order and Higher Type, ISRL 13, Springer (2011), pp. 155-184, ISBN: 978-3-642-19819-9. iconPdf.png

Bolita[1388] Francisco Fernández, Francisco Chávez, R. Alcalá, F. Herrera, Musical Genre Classification by means of Fuzzy Rules Based Systems: A preliminary approach. IEEE Congress on Evolutionary Computation (CEC 2011), New Orleans (Louisiana, USA), pp. 2681-2687, 5-8 June 2011. iconPdf.png

Bolita[1400] F. Chávez, F. Fernandez, R. Alcalá, J. Alcalá-Fdez, F. Herrera, Evolutionary Learning of a Laser Pointer Detection Fuzzy System for an Environment Control System. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), Taipei (Taiwan), pp. 256-263, 27-30 June 2011. iconPdf.png

Bolita[1413] J. Derrac, C. Cornelis, S. García, F. Herrera, A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorithms. 11th International Work-Conference on Artificial Neural Networks (IWANN'11), Lecture Notes on Computer Science 6691, Torremolinos (Spain), pp. 174-182, June 8-10, 2011. iconPdf.png

Bolita[1420] J. Sanz, A. Fernandez, H. Bustince, F. Herrera, On the cooperation of Interval-Valued Fuzzy Sets and Genetic Tuning to Improve the Performance of Fuzzy Decision Trees. 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), pp. 1247-1254, Taipei (Taiwan) 27-30 June 2011. iconPdf.png

Bolita[1407] I. Triguero, S. García, F. Herrera, Enhancing IPADE Algorithm with a Different Individual Codification. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw, Poland, 23-25 May 2011, LNAI 6679, pp. 262–270. iconPdf.png

Bolita[1385] A. Fernandez, S. García, F. Herrera, Addressing the Classi cation with Imbalanced Data: Open Problems and New Challenges on Class Distribution. 6th International Conference on Hybrid Artificial Intelligence Systems (HAIS2011). Wroclaw, Poland, 23-25 May 2011, pp. 1-10. iconPdf.png

Bolita[1342] S. García, J. Derrac, J. Luengo, C.J. Carmona, F. Herrera, Evolutionary Selection of Hyperrectangles in Nested Generalized Exemplar Learning. Applied Soft Computing 11:3 (2011) 3032-3045. doi:10.1016/j.asoc.2010.11.030 . iconPdf.png

Bolita[1386] J. Sanz, A. Fernandez, M. Pagola, A. Brugos, H. Bustince, F. Herrera, A Case Study on Medical Diagnosis of Cardiovascular Diseases Using a Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. T2FUZZ - 2011 IEEE Symposium on Advances in Type-2 Fuzzy Logic Systems (IEEE-SSCI 2011) pp. 9-15, Paris, France 11-15 April 2011. iconPdf.png

Bolita[1327] I. Triguero, S. García, F. Herrera, Differential Evolution for Optimizing the Positioning of Prototypes in Nearest Neighbor Classification. Pattern Recognition 44 (4) (2011) 901-916, doi: 10.1016/j.patcog.2010.10.020. iconPdf.png

Bolita[1375] M.J. Gacto, R. Alcalá, F. Herrera, Evolutionary Multi-Objective Algorithm to Effectively Improve the Performance of the Classic Tuning of Fuzzy Logic Controllers for a Heating, Ventilating and Air Conditioning System. 5th International Workshop On Genetic And Evolutionary Fuzzy Systems (GEFS 2011), pp. 73-80, 2011..

Bolita[1488] C.J. Carmona, P. González, M.J. del Jesus, F. Herrera, Analysis of the Impact of Using Different Diversity Functions for the Subgroup Discovery Algorithm NMEEF-SD. 5th International Workshop on Genetic and Evolutionary Fuzzy Systems, Paris (France), April - 2011, pp. 17-23.

Bolita[1384] E. Herrera-Viedma, F.J. Cabrerizo, I.J. Pérez, M.J. Cobo, S. Alonso, F. Herrera, Applying Linguistic OWA Operators in Consensus Models under Unbalanced Linguistic Information. In: R.R. Yager, J. Kacprzyk, G. Beliakov (Eds.): Recent developments in the ordered weighted averaging operators: theory and practice, Studies in Fuzziness and Soft Computing, Volume 265/2011, Springer (2011), pp. 167-186, ISBN: 978-3-642-17909-9. iconPdf.png

Bolita[1277] J. Alcalá-Fdez, A. Fernandez, J. Luengo, J. Derrac, S. García, L. Sánchez, F. Herrera, KEEL Data-Mining Software Tool: Data Set Repository, Integration of Algorithms and Experimental Analysis Framework. Journal of Multiple-Valued Logic and Soft Computing 17:2-3 (2011) 255-287. SOFTWARE associated to the paper here. iconPdf.png

Bolita[1276] J. Luengo, A. Fernandez, S. García, F. Herrera, Addressing Data Complexity for Imbalanced Data Sets: Analysis of SMOTE-based Oversampling and Evolutionary Undersampling. Soft Computing, 15 (10) (2011) 1909-1936 doi:10.1007/s00500-010-0625-8. iconPdf.png

Bolita[1324] F. Herrera, C.J. Carmona, P. González and M.J. del Jesus, An overview on Subgroup Discovery: Foundations and Applications . Knowledge and Information Systems 29:3 (2011) 495-525, doi: 10.1007/s10115-010-0356-2. iconPdf.png

Bolita[1374] J. Derrac, S. García, D. Molina, F. Herrera, A Practical Tutorial on the Use of Nonparametric Statistical Tests as a Methodology for Comparing Evolutionary and Swarm Intelligence Algorithms. Swarm and Evolutionary Computation 1:1 (2011) 3-18, doi: 10.1016/j.swevo.2011.02.002. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[1368] D. Torres-Salinas, E. Delgado-López-Cózar, J G Moreno-Torres, F. Herrera, Rankings ISI de las universidades españolas según campos científicos: Descripción y resultados. El Profesional de la Información 20:1 (2011) 111-122. iconPdf.png

Bolita[1321] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, An Approach for Detecting, Quantifying, and Visualizing the Evolution of a Research Field: A Practical Application to the Fuzzy Sets Theory Field. Journal of Informetrics 5:1, pp. 146-166 (2011). doi: 10.1016/j.joi.2010.10.002. iconPdf.png

Bolita[1376] M.J. Cobo, A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, Science Mapping Software Tools: Review, Analysis and Cooperative Study among Tools. Journal of the American Society for Information Science and Technology, 62:7, pp. 1382–1402 (2011) doi: 10.1002/asi.21525. iconPdf.png

Bolita[1387] M.J. Gacto, R. Alcalá, F. Herrera, A double axis classification of Interpretability Measures for Linguistic Fuzzy Rule-Based Systems. 9th International Workshop on Fuzzy Logic and Applications (WILF 2011), LNAI 6857, pp. 99–106, 2011.

Bolita Year 2010 (56):

Bolita[1104] A. Fernandez, S. García, J. Luengo, E. Bernadó-Mansilla, F. Herrera, Genetics-Based Machine Learning for Rule Induction: State of the Art, Taxonomy and Comparative Study. IEEE Transactions on Evolutionary Computation 14:6 (2010) 913-941 doi:10.1109/TEVC.2009.2039140. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[1340] V. López, A. Fernandez, F. Herrera, A First Approach for Cost-Sensitive Classification with Linguistic Genetic Fuzzy Systems in Imbalanced Data-sets. 10th International Conference on Intelligent Systems Design and Applications (ISDA2010), El Cairo (Egypt), pp. 676-681, 29th November - 1st December 2010. iconPdf.png

Bolita[1316] I. Triguero, S. García, F. Herrera, IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. IEEE Transactions on Neural Networks 21 (12) (2010) 1984-1990, doi: 10.1109/TNN.2010.2087415. COMPLEMENTARY MATERIAL to the paper here: datasets, experimental results and source codes. iconPdf.png

Bolita[1369] J G Moreno-Torres, F. Herrera, A preliminary study on overlapping and data fracture in imbalanced domains by means of Genetic Programming-based feature extraction. Proceedings of the 10th International Conference on Intelligent Systems Design and Applications (ISDA 2010). iconPdf.png

Bolita[1273] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera, Solving Multi-Class Problems with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning and Preference Relations. Fuzzy Sets and Systems 161:23 (2010) 3064-3080, doi: 10.1016/j.fss.2010.05.016. iconPdf.png

Bolita[1348] José A. Sáez, J. Luengo and F. Herrera, A First Study on the Noise Impact in Classes for Fuzzy Rule Based Classification Systems. In Proceedings of 2010 IEEE International Conference on Intelligent Systems and Knowledge Engineering (ISKE2010). IEEE Press. November 15-16, 2010, Hangzhou (China), pp. 153-158. iconPdf.png

Bolita[1320] L. Martinez, D. Ruan, F. Herrera, Computing with Words in Decision support Systems: An overview on Models and Applications. International Journal of Computational Intelligence Systems 3:4 (2010) 382-395. iconPdf.png

Bolita[1293] C. Carmona, P. González, M.J. del Jesus, F. Herrera, NMEEF-SD: Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery. IEEE Transactions on Fuzzy Systems Issue 18:5 (2010) 958-970 doi: 10.1109/TFUZZ.2010.2060200. iconPdf.png

Bolita[1278] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera, Improving the Performance of Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets and Genetic Amplitude Tuning. Information Sciences 180:19 (2010) 3674-3685, doi: 10.1016/j.ins.2010.06.018. iconPdf.png

Bolita[1322] V. López, A. Fernandez, F. Herrera, Un primer estudio sobre el uso de aprendizaje sensible al coste con sistemas de clasificación basados en reglas difusas para problemas no balanceados. III Congreso Español de Informática (CEDI 2010). III Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2010), Valencia (Spain), pp. 459-466, 7-10 September 2010. iconPdf.png

Bolita[1311] M. Galar, José A. Sáez, J. Luengo, F. Herrera , Influencia del Ruido en Sistemas de Clasificación con Múltiples Clases: Análisis sobre la estrategia Uno-contra-Uno. In Proceedings of the III Congreso Español de Informática (CEDI 2010). V Simposio de Teoría y Aplicaciones de Minería de Datos (TAMIDA 2010) Valencia (Spain), 65-74, 7-10 September 2010. iconPdf.png

Bolita[1312] José A. Sáez, J. Luengo, F. Herrera, Análisis del impacto del ruido en clases y atributos para Sistemas de Clasificación Basados en Reglas Difusas. In Proceedings of the III Congreso Español de Informática (CEDI 2010).III Simposio sobre Lógica Fuzzy y Soft Computing, LFSC2010 (EUSFLAT), Valencia (Spain), 467-474, 7-10 September 2010. iconPdf.png

Bolita[1330] D. Molina, C. García-Martínez, M. Lozano, F. Herrera, web temática sobre algoritmos evolutivos y otras metaheurísticas. Proceeding del VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB'2010, Valencia, Septiembre 2010, pp 311-317, 2010. iconPdf.png

Bolita[1307] S. García, J. Derrac, F. Herrera, Un Tutorial Metodológico para hacer Comparaciones Estadísticas con Tests No Paramétricos en Propuestas de Minería de Datos. In Proceedings of the III Congreso Español de Informática (CEDI 2010). V Simposio de Teoría y Aplicaciones de Minería de Datos, TAMIDA2010, Valencia (Spain), 155-164, 7-10 September 2010. iconPdf.png

Bolita[1285] J. Derrac, S. García, F. Herrera, Stratified Prototype Selection based on a Steady-State Memetic Algorithm: A Study of scalability. Memetic Computing 2:3 (2010) 183-199, doi:10.1007/s12293-010-0048-1. iconPdf.png

Bolita[1306] J. Derrac, I. Triguero, S. García, F. Herrera, Coevolución de selección de instancias y esquemas de pesos para clasificadores basados en la regla del vecino más cercano. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados, MAEB2010, Valencia (Spain), 481-488, 7-10 September 2010. iconPdf.png

Bolita[1309] J. Luengo, F. Herrera, Obtención de los dominios de competencia de C4.5 por medio de medidas de separabilidad de clases. In Proceedings of the III Congreso Español de Informática (CEDI 2010). VIII Jornadas de Aplicaciones y Transferencia Tecnológica de la Inteligencia Artificia (TTIA 2010) Valencia (Spain), 33-44, 7-10 September 2010. . iconPdf.png

Bolita[1339] J. Derrac, S. García, F. Herrera, IFS-CoCo in the Landscape Contest: Description and results. Proceedings of Contests of the Twentieth conference of the International Association for Pattern Recognition (ICPR'2010), LNCS vol. 6388, Springer, Heidelberg. Estambul (Turkey, 2010) . iconPdf.png

Bolita[1242] A. Puris, R. Bello and F. Herrera, Analysis of the efficacy of a Two-Stage methodology for Ant Colony Optimization: Case of study with TSP and QAP. Expert Systems with Applications 37:7 (2010) 5443-5453, doi: 10.1016/j.eswa.2010.02.069. iconPdf.png

Bolita[1281] A. Fernandez, M.J. del Jesus, F. Herrera, Multi-class Imbalanced Data-Sets with Linguistic Fuzzy Rule Based Classification Systems Based on Pairwise Learning. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), LNAI 6178 pp 89-98, 28 June - 02 July 2010. iconPdf.png

Bolita[1282] P. Villar, A. Fernandez, F. Herrera, A Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems for Highly Imbalanced Data-Sets. 13th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU2010) Dortmund (Germany), CCIS 80 pp. 741-750, 28 June - 02 July 2010. iconPdf.png

Bolita[1290] D. Molina, M. Lozano, F. Herrera, MA-SW-Chains: Memetic Algorithm Based on Local Search Chains for Large Scale Continuous Global Optimization. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionaty Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 3153-3160, 2010. COMPETITION WINNER. http://dx.doi.org/10.1109%2FCEC.2010.5586034 . iconPdf.png

Bolita[1291] I. Triguero, S. García, F. Herrera, A preliminary study on the use of differential evolution for adjusting the position of examples in nearest neighbor classification. In Proceeding on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Evolutionary Computation CEC'2010, Barcelona (Spain), 18-23 July, pp 630-637, 2010. iconPdf.png

Bolita[1310] J. Luengo, F. Herrera, An Extraction Method for the Characterization of the Fuzzy Rule Based Classification Systems’ Behavior using Data Complexity Measures: A case of study with FH-GBML. In Proceedings on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Fuzzy Logic FUZZ-IEEE'2010, Barcelona (Spain), 18-23 July, pp 702-709. iconPdf.png

Bolita[1294] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera, A Genetic Algorithm for Tuning Fuzzy Rule-Based Classification Systems with Interval-Valued Fuzzy Sets. In Proceedings on the WCCI 2010 IEEE World Congress on Computational Intelligence, IEEE Congress on Fuzzy Logic FUZZ-IEEE'2010, Barcelona (Spain), 18-23 July, pp 199-206. iconPdf.png

Bolita[1228] M.J. Gacto, R. Alcalá, F. Herrera, Integration of an Index to Preserve the Semantic Interpretability in the Multi-Objective Evolutionary Rule Selection and Tuning of Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems 18:3 (2010) 515-531, doi: 10.1109/TFUZZ.2010.2041008. iconPdf.png

Bolita[1254] M.J. Gacto, R. Alcalá, F. Herrera, Analysis of the Performance of a Semantic Interpretability-Based Tuning and Rule Selection of Fuzzy Rule-Based Systems by Means of a Multi-Objective Evolutionary Algorithm. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), LNAI 6097, Springer, Córdoba (Spain), pp. 228-238, 1-4 June 2010, ISBN 978-3-642-13024-3.

Bolita[1275] S. García, J. Derrac, I. Triguero, C. Carmona, F. Herrera, A Preliminary Study on the Selection of Generalized Instances for Imbalanced Classification. Twenty Third International Conference on Industrial, Engineering & Other Applications of Applied Intelligent Systems (IEA/AIE 2010), Córdoba (Spain), Lecture Notes in Artificial Intelligence (LNAI) 6096, 601-610, , 1-4 June 2010. iconPdf.png

Bolita[1051] J. Alcalá-Fdez, S. García, L. Sánchez, I. Robles, M.J. del Jesus, E. Bernadó-Mansilla, A. Peregrin, F. Herrera, Introduction to the Experimental Design in the Data Mining Tool KEEL. L.S.L. Wang , T.P. Hong (Eds.) Intelligent Soft Computation and Evolving Data Mining: Integrating Advanced Technology, IGI Global, 2010, 1-25. ISBN 978-1-61520-757-2.

Bolita[1229] F.J. Berlanga, A.J. Rivera, M.J. del Jesus, F. Herrera, GP-COACH: Genetic Programming based learning of COmpact and ACcurate fuzzy rule based classification systems for high dimensional problems. Information Sciences 180:8 (2010) 1183-1200, doi: 10.1016/j.ins.2009.12.020. iconPdf.png

Bolita[1227] A. Fernandez, M.J. del Jesus, F. Herrera, On the 2-Tuples Based Genetic Tuning Performance for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. Information Sciences 180:8 (2010) 1268-1291, doi:10.1016/j.ins.2009.12.014. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[1265] J. Alcalá-Fdez, R. Alcalá, F. Herrera, A Fuzzy Associative Classification System with Genetic Rule Selection for High- Dimensional Problems. Proceedings of the Fourth International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS 2010) , pp. 33-38, Asturias (Spain), 17 – 19 March 2010, ISBN 978-1-4244-4622-3.

Bolita[1100] J. Derrac, S. García, F. Herrera, A Survey on Evolutionary Instance Selection and Generation. International Journal of Applied Metaheuristic Computing 1:1 (2010) 60-92, doi:10.4018/IJAMC.2010010104. iconPdf.png

Bolita[1206] S. García, A. Fernandez, J. Luengo, F. Herrera, Advanced nonparametric tests for multiple comparisons in the design of experiments in computational intelligence and data mining: Experimental Analysis of Power. Information Sciences 180 (2010) 2044–2064. doi: 10.1016/j.ins.2009.12.010. COMPLEMENTARY MATERIAL to the paper here: Software and tests description . iconPdf.png

Bolita[1092] P. Espejo, S. Ventura, F. Herrera, A Survey on the Application of Genetic Programming to Classification. IEEE Transactions on Systems, Man, and Cybernetics--Part C: Applications and Reviews 40:2 (2010) 121-144, doi:10.1109/TSMCC.2009.2033566 . iconPdf.png

Bolita[1258] A. Fernandez, M.J. del Jesus, F. Herrera, Analysing the Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection. Proc. of the 4th International Workshop on Genetic and Evolutionary Fuzzy Systems (GEFS2010) 69-74, Mieres (Spain) 17-19 March 2010.

Bolita[1112] J. Luengo, S. García, F. Herrera, A Study on the Use of Imputation Methods for Experimentation with Radial Basis Function Network Classifiers Handling Missing Attribute Values: The good synergy between RBFs and EventCovering method. Neural Networks 23 406-418, doi:10.1016/j.neunet.2009.11.014. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[1114] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera, A Bibliometric Study about the Research Based on Hybridating the Fuzzy Logic Field and the Other Computational Intelligent Techniques: A Visual Approach. Internacional Journal of Hybrid Intelligent Systems 17:7 (2010) 17–32. DOI:10.3233/HIS-2010-0102. iconPdf.png

Bolita[0897] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera, hg-index: A New Index to Characterize the Scientific Output of Researchers Based on the h- and g- Indices. Scientometrics 82:2 (2010) 391-400. doi:10.1007/s11192-009-0047-5. iconPdf.png

Bolita[1284] J. Alcalá-Fdez, R. Alcalá, F. Herrera, Un Modelo de Clasificación basado en Reglas de Asociación Difusas para Problemas de Alta Dimensionalidad y Selección Evolutiva de Reglas. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 249-254, 3-5 February 2010.

Bolita[1256] J.A. Sanz, A. Fernandez, H. Bustince, F. Herrera, Un algoritmo genético para el ajuste de Sistemas de Clasificación Basados en Reglas Difusas con Conjuntos Intervalo-Valorados Difusos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 115-120, 3-5 February 2010.

Bolita[1253] M.J. Gacto, R. Alcalá, F. Herrera, Indice de Interpretabilidad Semántica para el Ajuste de Sistemas Basados en Reglas Difusas y Selección de Reglas Mediante un Algoritmo Evolutivo Multi-Objetivo. Proceedings of the XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), pp. 73-78, Huelva (Spain), 3-5 February 2010, ISBN 978-84-92944-02-6.

Bolita[1255] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince, F. Herrera, Resolución de Problemas Multi-clase con Sistemas de Clasificación Basados en Reglas Difusas Lingüísticos Basados en Aprendizaje por Parejas y Relaciones de Preferencia. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 97-102, 3-5 February 2010.

Bolita[1251] J. Luengo, F. Herrera, Determinando Automáticamente los Dominios de Competencia de un Sistema de Clasi ficación Basado en Reglas Difusas: Un Caso de Estudio con FH-GBML. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 235-240, 3-5 February 2010.

Bolita[1250] J. Derrac, A. Fernandez, J. Luengo, S. García, L. Sánchez, J. Alcalá-Fdez, F. Herrera, KEEL: Una herramienta software para el análisis de sistemas difusos evolutivos. XV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2010), Huelva (Spain), 417-422, 3-5 February 2010.. iconPdf.png

Bolita[1065] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera, q2-Index: Quantitative and Qualitative Evaluation Based on the Number and Impact of Papers in the Hirsch Core. Journal of Informetrics 4:1 (2010) 23-28, doi:10.1016/j.joi.2009.06.005. iconPdf.png

Bolita[1043] J. Luengo, F. Herrera, Domains of Competence of Fuzzy Rule Based Classification Systems with Data Complexity measures: A case of study using a Fuzzy Hybrid Genetic Based Machine Learning Method. Fuzzy Sets and Systems, 161 (1) (2010) 3-19 doi:10.1016/j.fss.2009.04.001 . iconPdf.png

Bolita[1226] J. Derrac, S. García, F. Herrera, IFS-CoCo: Instance and Feature Selection based on Cooperative Coevolution with Nearest Neighbor Rule. Pattern Recognition 43:6 (2010) 2082-2105. doi: 10.1016/j.patcog.2009.12.012 . iconPdf.png

Bolita[1072] S. García, J.R. Cano, F. Herrera, A Review on Evolutionary Prototype Selection: An Empirical Study of Performance and Efficiency. In: Chiong, R. (eds.): Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications. IGI Global (2010) 92-113.

Bolita[1283] F. Chávez, F. Fernández, R. Alcalá, J. Alcalá-Fdez, F. Herrera, Ajuste Evolutivo de un Sistema de Control de Entorno para Personas con Discapacidad utilizando Sistemas Difusos. VII Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB 2010), pp. 535-542, Valencia (España), 7-10 Septiembre 2010. iconPdf.png


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Bolita[1295] S. Alonso, E. Herrera-Viedma, F. Chiclana , F. Herrera, A Web Based Consensus Support System for Group Decision Making Problems and Incomplete Preferences. Information Sciences, 180:23 (2010), 4477-4495. doi:10.1016/j.ins.2010.08.005. iconPdf.png

Bolita[1221] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera, On the Use of Distributed Genetic Algorithms for the Tuning of Fuzzy Rule Based-Systems. F. Fernández de Vega, E.Cantú-Paz (Eds.): Parallel and Distributed Computational Intelligence, Studies in Computational Intelligence 269, pp. 235-261, Springer-Verlag Berlin Heidelberg. iconPdf.png

Bolita[1264] Francisco Chávez, Francisco Fernández, J. Alcalá-Fdez, R. Alcalá, F. Herrera, Gustavo Olague, Genetic Tuning of a Laser Pointer Environment Control Device System for Handicapped People with Fuzzy Systems. In Proceedings of the 2010 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2010), pp. 1812-1819, Barcelona (Spain), 18-23 July 2010, ISBN 978-1-4244-8126-2.. iconPdf.png

Bolita[0849] D. Molina, M. Lozano, C. García-Martínez, F. Herrera, Memetic Algorithms for Continuous Optimization Based on Local Search Chains. Evolutionary Computation, 18:1 (2010) 27-63, doi: 10.1162/evco.2010.18.1.18102. iconPdf.png

Bolita[1186] J. Alcalá-Fdez, N. Flugy-Pape, A. Bonarini, F. Herrera, Analysis of the Effectiveness of the Genetic Algorithms based on Extraction of Association Rules. Fundamenta Informaticae 98:1 (2010) 1001-1014. iconPdf.png

Bolita[1259] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera, WoS Query Partitioner: A tool to retrieve very large numbers of items from the Web of Science using different source based partitioning approaches. Journal of the American Society for Information Science and Technology 61:8 (2010) 1582-1597, doi:10.1002/asi.21360. SOFTWARE associated to the paper here. iconPdf.png

Bolita Year 2009 (62):

Bolita[1069] F. Herrera, S. Alonso, F. Chiclana, E. Herrera-Viedma, Computing With Words in Decision Making: Foundations, Trends and Prospects. Fuzzy Optimization and Decision Making 8:4 (2009) 337-364 doi:10.1007/s10700-009-9065-2 . iconPdf.png

Bolita[0875] S. García, J.R. Cano, E. Bernadó-Mansilla, F. Herrera, Diagnose of Effective Evolutionary Prototype Selection using an Overlapping Measure. International Journal of Pattern Recognition and Artificial Intelligence 23:8 (2009) 1527-1548. iconPdf.png

Bolita[0834] S. García, D. Molina, M. Lozano, F. Herrera, A Study on the Use of Non-Parametric Tests for Analyzing the Evolutionary Algorithms' Behaviour: A Case Study on the CEC'2005 Special Session on Real Parameter Optimization. Journal of Heuristics 15 (2009) 617-644, doi: 10.1007/s10732-008-9080-4. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[1222] D. Molina, M. Lozano, F. Herrera, Memetic Algorithm with Local Search Chaining for Continuous Optimization Problems. Proceeding of 9th International Conference on Intelligent System Design and Applications, 2009 (ISDA'2009), 1068-1073. iconPdf.png

Bolita[1115] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera, R. Bailón, E. Jiménez-Contreras, Visualization and Evolution of the Scientific Structure of Fuzzy Sets Research in Spain. Information Research 14:4, paper 421 (2009), Available at http://InformationR.net/ir/14-4/paper421.html. iconPdf.png

Bolita[1177] S. García, J. Derrac, J. Luengo, F. Herrera, A First Approach to Nearest Hyperrectangle Selection by Evolutionary Algorithms. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 517-522. iconPdf.png

Bolita[1162] P. Villar, A. Fernandez, A.M. Sánchez, F. Herrera, Un Algoritmo Genético para Selección de Características en Sistemas de Clasificación Basados en Reglas Difusas para conjuntos de datos altamente no balanceados. Actas de la XIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA09) Sevilla (Spain), 519-528, 9-13 November 2009.

Bolita[1176] J. Luengo, A. Fernandez, F. Herrera, S. García, Addressing Data-Complexity for Imbalanced Data-sets: A Preliminary Study on the Use of Preprocessing for C4.5. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), Pisa (Italy) November 2009, 523-528 .

Bolita[1216] M.J. Gacto, R. Alcalá, F. Herrera, Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm. 9th International Conference on Intelligent Systems Designs and Applications (ISDA'09), pp. 109-114, Pisa (Italy), November 2009, ISBN 978-0-7695-3872-3.

Bolita[1054] R. Alcalá, P. Ducange, F. Herrera, B. Lazzerini, F. Marcelloni, A Multi-Objective Evolutionary Approach to Concurrently Learn Rule and Data Bases of Linguistic Fuzzy Rule-Based Systems. IEEE Transactions on Fuzzy Systems 17:5 (2009) 1106-1122, doi: 10.1109/TFUZZ.2009.2023113. iconPdf.png

Bolita[1079] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera, Evolutionary Parallel and Gradually Distributed Lateral Tuning of Fuzzy Rule-Based Systems. Evolutionary Intelligence 2 (2009) 5-19, doi: 10.1007/s12065-009-0025-0. iconPdf.png

Bolita[1059] A. Fernandez, M. Calderón, E. Barrenechea, H. Bustince F. Herrera, Enhancing Fuzzy Rule Based Systems in Multi-Classification Using Pairwise Coupling with Preference Relations. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 39-46, 16-18 September 2009.

Bolita[1060] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera, The Aggregation of Bibliometric Indices to Evaluate the Scientific Output of Researchers: A Case of Study in the Fuzzy Community. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis, Pamplona (Spain), 187-192, 16-18 September 2009. iconPdf.png

Bolita[1770] F. Herrera, M. Lozano, Fuzzy Evolutionary Algorithms and Genetic Fuzzy Systems: A Positive Collaboration between Evolutionary Algorithms and Fuzzy Systems. In: C.L. Mumford, L.C. Jain (Eds.) Computational Intelligence: Collaboration, Fusion and Emergence, ISRL 1, Springer Berlin Heidelberg (2009), pp. 83-130, ISBN: 978-3-642-01798-8. iconPdf.png

Bolita[1078] A. Fernandez, J. Luengo, J. Derrac, J. Alcalá-Fdez and F. Herrera, Implementation and Integration of Algorithms into the KEEL Data-Mining Software Tool. 10th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2009). Lecture Notes in Computer Science 5788, Springer 2009, Burgos (Spain, 2009) 562-569. iconPdf.png

Bolita[1063] J. Sanz, M. Pagola, H. Bustince, A. Fernandez, F. Herrera, Construction of Ignorance Functions from Overlap Functions. EUROFUSE09 Workshop on Preference Modelling and Decision Analysis Pamplona (Spain), 317-322, 16-18 September 2009.

Bolita[1046] S. Alonso. F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera, h-index: A Review Focused in its Variants, Computation and Standardization for Different Scientific Fields. Journal of Informetrics 3:4 (2009) 273-289, doi:10.1016/j.joi.2009.04.001. iconPdf.png

Bolita[1096] F. Herrera, E. Herrera-Viedma, S. Alonso, F.J. Cabrerizo, Agregación de índices bibliométricos para evaluar la producción científica de los investigadores. El Profesional de la Información 18:5 (2009) 559-561. doi:10.3145/epi.2009.sep.11. iconPdf.png

Bolita[1047] S. García, A. Fernandez, F. Herrera, Enhancing the Effectiveness and Interpretability of Decision Tree and Rule Induction Classifiers with Evolutionary Training Set Selection over Imbalanced Problems. Applied Soft Computing 9 (2009) 1304-1314, doi:10.1016/j.asoc.2009.04.004. iconPdf.png

Bolita[1018] A. Fernandez, F. Herrera, M.J. del Jesus, On the Influence of an Adaptive Inference System in Fuzzy Rule Based Classification Systems for Imbalanced Data-Sets. Expert Systems With Applications 36:6 (2009) 9805-9812, doi: 10.1016/j.eswa.2009.02.048. iconPdf.png

Bolita[1048] P. Villar, F. Herrera, A. Fernandez, A Genetic Learning of the Fuzzy Rule-Based Classification System Granularity for Highly Imbalanced Data-Sets. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1689-1694, 20-24 August 2009.

Bolita[1056] R. Alcalá, Y. Nojima, F. Herrera, H. Ishibuchi, Generating Single Granularity Based Fuzzy Classification Rules for Multiobjective Genetic Fuzzy Rule Selection. In Proceedings of the 2009 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE2009), pp. 1718-1723, Jeju Island (Korea), 20-24 August 2009, ISBN 978-1-4244-3597-5. iconPdf.png

Bolita[0898] S. García, A. Fernandez, J. Luengo, F. Herrera, A Study of Statistical Techniques and Performance Measures for Genetics-Based Machine Learning: Accuracy and Interpretability. Soft Computing 13:10 (2009) 959-977, doi:10.1007/s00500-008-0392-y. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[1233] C.J. Carmona, P. González, M.J. Del Jesus, F. Herrera, An analysis of evolutionary algorithms with different types of fuzzy rules in subgroup discovery. 2009 IEEE International Conference on Fuzzy Systems (Fuzz-IEEE09) Jeju Island, (Korea), 1706-1711, 20-24 August 2009..

Bolita[0826] S. García, F. Herrera, Evolutionary Under-Sampling for Classification with Imbalanced Data Sets: Proposals and Taxonomy. Evolutionary Computation 17:3 (2009) 275-306. iconPdf.png

Bolita[1055] M.J. Gacto, R. Alcalá, F. Herrera, A Multiobjective Evolutionary Algorithm for Tuning Fuzzy Rule Based Systems with Measures for Preserving Interpretability. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1146-1151, Lisbon (Portugal), 20-24 July 2009. ISBN 978-989-95079-6-8.

Bolita[0671] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Improving Fuzzy Logic Controllers Obtained by Experts: A Case Study in HVAC Systems. Applied Intelligence 31:1 (2009) 15-30, doi:10.1007/s10489-007-0107-6. iconPdf.png

Bolita[1037] A. Fernandez, F.J. Berlanga, M.J. del Jesus, F. Herrera, Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for Highly Imbalanced Data-Sets. 13th International Fuzzy Systems Association World Congress and 6th European Society for Fuzzy Logic and Tecnology Conference (IFSA-EUSFLAT 2009) 42-47, Lisbon (Portugal), 20-24 July 2009.

Bolita[1077] J. Luengo, F. Herrera, On the use of Measures of Separability of Classes to characterise the Domains of Competence of a Fuzzy Rule Based Classification System. Proceedings of the 2009 International Fuzzy Systems Association congress and 2009 European Society for Fuzzy Logic and Technology conference, Lisbon (Portugal) 1027-1032, July 2009.

Bolita[1041] I. Robles, R. Alcalá, J.M. Benítez, F. Herrera, Distributed Genetic Tuning of Fuzzy Rule-Based Systems. In Proceedings of the Joint International Fuzzy Systems Association World Congress and the European Society for Fuzzy Logic and Technology Conference (IFSA/EUSFLAT 2009), 1740-1744, Lisbon (Portugal), 20-24 July 2009.

Bolita[1075] D. Molina, M. Lozano, F. Herrera, A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noiseless Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2255-2262. iconPdf.png

Bolita[1076] D. Molina, M. Lozano, F. Herrera, A Memetic Algorithm using Local Search Chaining for Black-Box Optimization for Noisy Functions. Proceeding of Genetic and Evolutionary Computation Conference (GECCO), (2009), 2359-2366. iconPdf.png

Bolita[1034] J. Derrac, S. García, F. Herrera, A First Study on the Use of Coevolutionary Algorithms for Instance and Feature Selection. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 557-564. iconPdf.png

Bolita[1062] J. Luengo, F. Herrera, Domains of Competence of Artificial Neural Networks Using Measures of Separability of Classes. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 81-88, June 2009.

Bolita[1035] J. Sanz, A. Fernandez, H. Bustince, F. Herrera, A First Study on the Use of Interval-Valued Fuzzy Sets with Genetic Tuning for Classification with Imbalanced Data-sets. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 581-588.

Bolita[1234] C.J. Carmona, P. González, M.J. Del Jesus, F. Herrera, Non-dominated Multi-objective Evolutionary Algorithm Based on Fuzzy Rules Extraction for Subgroup Discovery. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 573-580, 2009. iconPdf.png

Bolita[1061] M. D. Pérez-Godoy, A. J. Rivera, A. Fernandez, M. J. del Jesus and F. Herrera, A Preliminar Analysis of CO2RBFN in Imbalanced Problems. 10th International Work-Conference on Artificial Neural Networks (IWANN09) Lecture Notes on Computer Science 5517, Springer-Verlag, Salamanca (Spain) 57-64, June 2009.

Bolita[1036] A. Fernandez, M.J. del Jesus, F. Herrera, Improving the Performance of Fuzzy Rule Based Classification Systems for Highly Imbalanced Data-sets Using an Evolutionary Adaptive Inference System. 10th International Work-Conference on Artificial Neural Networks (IWANN09), Lecture Notes on Computer Science 5517, Salamanca (Spain), 294-301, June 2009.

Bolita[1070] N. Flugy Papè, J. Alcalá-Fdez, A. Bonarini and F. Herrera, Evolutionary Extraction of Association Rules: A Preliminary Study on their Effectiveness. In Proceedings of the Fourth International Conference on Hybrid Artificial Intelligence Systems (HAIS 2009), June 10-12, Salamanca (Spain), Lecture Notes in Artificial Intelligence 5572, 646-653. iconPdf.png

Bolita[1058] D. Molina, M. Lozano, F. Herrera, Memetic Algorithm with Local Search Chaining for Large Scale Continuous Optimization. Proceeding IEEE Congress on Evolutionary Computation (2009) 830-837. iconPdf.png

Bolita[0894] A.M. Sánchez, M. Lozano, P. Villar, F. Herrera, Hybrid Crossover Operators with Multiple Descendents for Real-Coded Genetic Algorithms: Combining Neighborhood-based Crossover Operators. International Journal of Intelligent Systems 24:5 (2009) 540-567, doi: 10.1002/int.20348. iconPdf.png

Bolita[0896] A. Fernandez, M.J. del Jesus, F. Herrera, Hierarchical Fuzzy Rule Based Classification Systems with Genetic Rule Selection for Imbalanced Data-Sets. International Journal of Approximate Reasoning 50 (2009) 561-577, doi: 10.1016/j.ijar.2008.11.004. COMPLEMENTARY MATERIAL to the paper here: dataset partitions, results, figures, etc.. iconPdf.png

Bolita[0837] M.J. Gacto, R. Alcalá, F. Herrera, Adaptation and Application of Multi-Objective Evolutionary Algorithms for Rule Reduction and Parameter Tuning of Fuzzy Rule-Based Systems. Soft Computing 13:5 (2009) 419-436, doi:10.1007/s00500-008-0359-z. iconPdf.png

Bolita[0591] P.J. Sánchez, L. Martínez, C. García-Martínez, F. Herrera, E. Herrera-Viedma, A fuzzy model to evaluate the suitability of installing an enterprise resource planning system. Information Sciences 179 (2009) 2333-2341. doi: 10.1016/j.ins.2008.12.020. iconPdf.png

Bolita[0893] J. Luengo, S. García, F. Herrera, A Study on the Use of Statistical Tests for Experimentation with Neural Networks: Analysis of Parametric Test Conditions and Non-Parametric Tests. Expert Systems with Applications 36 (2009) 7798-7808 doi:10.1016/j.eswa.2008.11.041 . COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[1098] D. Molina, M. Lozano, F. Herrera, Algoritmo Memético Basado en Encadenamiento de Búsquedas Locales para Problemas de Optimización Continua. Proceeding VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), (2009), 481-486. iconPdf.png

Bolita[0885] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera, Cardinal Consistency of Reciprocal Preference Relations: A Characterization of Multiplicative Transitivity. IEEE Transactions on Fuzzy Systems 17:1 (2009) 14-23, doi: 10.1109/TFUZZ.2008.2008028. iconPdf.png

Bolita[1231] E. Ramentol, F. Herrera, R. Bello, Y. Caballero, Y. Sánchez, Edición de Conjuntos de Entrenamiento no Balanceados, haciendo uso de Operadores Genéticos y la Teoría de los Conjuntos Aproximados. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), 11-13 Febrero, Malaga (Spain), 277-284, 2009.. iconPdf.png

Bolita[0855] S. Alonso, F.J. Cabrerizo, F. Chiclana, F. Herrera, E. Herrera-Viedma, Group Decision-Making with Incomplete Fuzzy Linguistic Preference Relations. International Journal of Intelligent Systems 24:2 (2009) 201-222, doi:10.1002/int.20332. iconPdf.png

Bolita[0758] J. Alcalá-Fdez, L. Sánchez, S. García, M.J. del Jesus, S. Ventura, J.M. Garrell, J. Otero, C. Romero, J. Bacardit, V.M. Rivas, J.C. Fernández, F. Herrera, KEEL: A Software Tool to Assess Evolutionary Algorithms for Data Mining Problems. Soft Computing 13:3 (2009) 307-318 doi: 10.1007/s00500-008-0323-y. SOFTWARE associated to the paper here. iconPdf.png

Bolita[1199] A.M. Sánchez, M. Lozano, F. Herrera, Algoritmos Genéticos para Codificación Real con Operador de Cruce Híbrido con Múltiples Descendientes: 2BLX0.5-2FR0.5-2PNX3-2SBX0.01. En Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09). pp 411-418. Málaga (Spain), 11-13 February 2009. .

Bolita[1025] S. García, A. Fernandez, F. Herrera, Un Primer Estudio sobre la Utilización de Selección Evolutiva de Conjuntos de Entrenamiento en Problemas de Clasificación con Clases no Balanceadas y Árboles de Decisión. In Proceedings of VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), Málaga (Spain), 183-190, 11-13 February 2009.

Bolita[0900] I. Robles, J.M. Benítez, M. Lozano, F. Herrera, Implementación de un algoritmo genético distribuido para optimización de problemas reales. VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), páginas 419-424.

Bolita[1038] M.J. Gacto, R. Alcalá, F. Herrera, Algoritmo Genético Multi-Objetivo Avanzado para el ajuste de un sistema difuso aplicado al Control de Sistemas de Ventilación, Calefacción y Aire Acondicionado. En Actas del Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), pp. 595-602, Málaga (Spain), 11-13 February 2009. ISBN 978-84-691-6813-4.

Bolita[1232] C. Blum, P. Cardoso, F. Herrera, ACOR híbrido con múltiples colonias para problemas de optimización continua. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB09), 11-13 Febrero, Malaga (Spain), 465-472, 2009. iconPdf.png

Bolita[1023] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera, Una Aplicación de Algoritmos Evolutivos Multiobjetivo al Filtrado de Correo Electrónico no Deseado. Actas del VI Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'09), pp. 611-616, Málaga (Spain), 11-13 February 2009.

Bolita[0769] C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera, Evolutionary algorithms for subgroup discovery in e-learning: A practical application using Moodle data. Expert Systems With Applications 36 (2009) 1632-1644, doi:10.1016/j.eswa.2007.11.026. iconPdf.png

Bolita[0949] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera, Individual and Social Strategies to Deal With Ignorance Situations in Multi-Person Decision Making. International Journal of Information Technology and Decision Making 8:2 (2009) 313-333, doi: 10.1142/S0219622009003417. iconPdf.png

Bolita[0964] D. Molina, M. Lozano, F. Herrera, Study of the Influence of the Local Search Method in Memetic Algorithms for Large Scale Continuous Optimization Problems. Learning and Intelligent OptimizatioN Workshop (LION'3), pages 221-234. iconPdf.png

Bolita[0838] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera, Learning the Membership Function Contexts for Mining Fuzzy Association Rules by Using Genetic Algorithms. Fuzzy Sets and Systems 160:7 (2009) 905-921 doi:10.1016/j.fss.2008.05.012 . iconPdf.png

Bolita[0947] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, A Study of the Use of Multi-Objective Evolutionary Algorithms to Learn Boolean Queries: A Comparative Study. Journal of the American Society for Information Science and Technology 60:6 (2009) 1192 - 1207 doi: 10.1002/asi.21060 . iconPdf.png

Bolita[0976] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, Applying Multi-objective Evolutionary Algorithms to the Automatic Learning of Extended Boolean Queries in Fuzzy Ordinal Linguistic Information Retrieval Systems. Fuzzy Sets and Systems, 160 (2009) 2192 – 2205 doi:10.1016/j.fss.2009.02.013. iconPdf.png

Bolita Year 2008 (35):

Bolita[0341] M. Lozano, F. Herrera, J.R. Cano, Replacement Strategies to Preserve Useful Diversity in Steady-State Genetic Algorithms. Information Sciences 178:23 (2008) 4421-4433, doi:10.1016/j.ins.2008.07.031. iconPdf.png

Bolita[0768] R. Romero Zaliz, C. Rubio-Escudero, O. Cordón, J.P. Cobb, F. Herrera, I. Zwir, A multi-objective evolutionary conceptual clustering methodology for gene annotation within structural databases: A case of study on the Gene Ontology database. IEEE Transactions on Evolutionary Computation, 12:6 (2008) 679-701 doi:10.1109/TEVC.2008.915995. iconPdf.png

Bolita[0882] S. García, F. Herrera, An Extension on "Statistical Comparisons of Classifiers over Multiple Data Sets" for all Pairwise Comparisons. Journal of Machine Learning Research 9 (2008) 2677-2694. COMPLEMENTARY MATERIAL to the paper here: Software and tests description. iconPdf.png

Bolita[0907] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, A Multiobjective Evolutionary Algorithm for Spam E-mail Filtering. Proceedings of the International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2008), Xiamen (China), 17-18 November 2008.

Bolita[0904] D. Molina, M. Lozano, C. García-Martínez, F. Herrera, Memetic Algorithms for Intense Local Search Methods Using Local Search Chains . Proceedings of the International Workshop on Hybrid Metaheuristics (HM 2008), Málaga (Spain), 8-9 october 2008, LNCS 5296, pp. 58-71. http://dx.doi.org/10.1007/978-3-540-88439-2_5. iconPdf.png

Bolita[0847] J.R. Cano, S. García, F. Herrera, Subgroup Discovery in Large Size Data Sets Preprocessed Using Stratified Instance Selection for Increasing the Presence of Minority Classes. Pattern Recognition Letters 29 (2008) 2156-2164, doi:10.1016/j.patrec.2008.08.001. iconPdf.png

Bolita[0845] A. Fernandez, M.J. del Jesus, F. Herrera, Sistemas Basados en Reglas Difusas en Clasificación: Nuevos Retos. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 493-500, 17-19 September 2008.

Bolita[0772] A. Fernandez, S. García, M.J. del Jesus, F. Herrera, A Study of the Behaviour of Linguistic Fuzzy Rule Based Classification Systems in the Framework of Imbalanced Data Sets. Fuzzy Sets and Systems, 159:18 (2008) 2378-2398, doi: 10.1016/j.fss.2007.12.023. iconPdf.png

Bolita[0848] S. García, F. Herrera, Design of Experiments in Computational Intelligence: On the Use of Statistical Inference. Proceedings of the 3rd International Workshop on Hybrid Artificial Intelligent Systems (HAIS08). Lecture Notes in Artificial Intelligence 5271, Springer-Verlag 2008, Burgos (Spain) 4-14, September 2008.

Bolita[0844] A. Fernandez, M.J. del Jesus, F. Herrera, A Short Study on the Use of Genetic 2-Tuples Tuning for Fuzzy Rule Based Classification Systems in Imbalanced Data-Sets. 8th International Conference on Hybrid Intelligent Systems (HIS 2008) Barcelona (Spain), 483-488, 10-12 September.

Bolita[0853] S. García, F. Herrera, Evolutionary Training Set Selection to Optimize C4.5 in Imbalanced Problems. Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS08), Barcelona (Spain), 567-572, September 2008.

Bolita[0873] F.J. Cabrerizo, S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana, A Selection Process to Deal with Incomplete Fuzzy Preference Relations in a 2-Tuple Fuzzy Linguistic Approach. Proceedings of the 8th International FLINS Conference on Computational Intelligence in Decision and Control, Madrid (Spain), 289-294, 21-24 September 2008. iconPdf.png

Bolita[0909] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera, A Study on the Evolution of Fuzzy Sets Based Research in Spain Based on Bibliometric Maps. Proceedings of the XIV Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2008), pp. 265-270. ISBN: 978-84-691-5807-4, Mieres-Langreo (Spain), 17-19 September 2008.

Bolita[0892] J. Luengo, S. García, J.R. Cano, F. Herrera, Estudio de la influencia de las medidas de complejidad de los datos en los Sistemas de Clasifcación Basados en Reglas Difusas: Análisis de la Razón Discriminante de Fisher. XIV Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF08) Mieres (Spain), 257-263, 17-19 September 2008.

Bolita[0974] P. Gonzalez, C.J. Carmona, M.J. del Jesus, F. Herrera, Influencia de la granularidad y las medidas de calidad en el modelo evolutivo SDIGA de descubrimiento de subgrupos. Proceedings of the XIV Congreso Español Sobre Tecnologías Y Lógicas Fuzzy (ESTYLF 2008), pp. 179-184. ISBN: 978-84-691-5807-4, Mieres-Langreo (Spain), 17-19 September 2008.

Bolita[0864] A.G. López-Herrera, M.J. Cobo, E. Herrera-Viedma, F. Herrera, Visualizing the Hybridizations Between the Fuzzy Logic Field and the Other Soft-Computing Techniques. Proceedings of the 8th International Conference on Hybrid Intelligent Systems (HIS08), Barcelona (Spain), 252-257, 10-12 September 2008.

Bolita[0854] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera, A Note on the Estimation of Missing Pairwise Preference Values: A Uninorm Consistency based Method. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 16:2 Supp (2008) 19-32, doi:10.1142/S0218488508005467. iconPdf.png

Bolita[0721] J.R. Cano, F. Herrera, M. Lozano, S. García, Making CN2-SD Subgroup Discovery Algorithm scalable to Large Size Data Sets using Instance Selection. Expert Systems with Applications 35 (2008) 1949-1965, doi:10.1016/j.eswa.2007.08.083. iconPdf.png

Bolita[0827] S. García, J.R. Cano, F. Herrera, A Memetic Algorithm for Evolutionary Prototype Selection: A Scaling Up Approach. Pattern Recognition 41:8 (2008) 2693-2709, doi:10.1016/j.patcog.2008.02.006. iconPdf.png

Bolita[0861] F. Chiclana, S. Alonso, E. Herrera-Viedma, F. Herrera, Construction of Consistent Fuzzy Preference Relations Using Uninorms. Proceedings of IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2008), Hong Kong, 1269-1273, 1-6 June (2008).

Bolita[0867] M.J. Gacto, R. Alcalá, F. Herrera, Multi-Objective Genetic Fuzzy Systems: On the Necessity of Including Expert Knowledge in the MOEA Design Process. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1446-1453, 22-28 June 2008.

Bolita[0868] M.J. Gacto, R. Alcalá, F. Herrera, An Improved Multi-Objective Genetic Algorithm for Tuning Linguistic Fuzzy Systems. Proceedings of the 2008 International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2008), Malaga (Spain), 1121-1128, 22-28 June 2008.

Bolita[0859] F. Chiclana, S. Alonso, E. Herrera-Viedma, F. Herrera, Tackling Incomparability of Fuzzy Preferences Using Self-dual Uninorms. Proceedings of the 12th International Conference on Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2008), Málaga (Spain), 1311-1317, 22-27 June (2008).

Bolita[0596] F. Herrera, E. Herrera-Viedma, L. Martínez, A Fuzzy Linguistic Methodology To Deal With Unbalanced Linguistic Term Sets. IEEE Transactions on Fuzzy Systems 16:2 (2008) 354-370, doi:10.1109/TFUZZ.2007.896353. iconPdf.png

Bolita[0656] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, On the use of Multiobjective Genetic Algorithms to Improve the Accuracy-Interpretability Trade-Off of Fuzzy Rule-Based Systems. In: Ghosh, A., Dehuri, S., Ghosh, S. (eds.): Multi-objective Evolutionary Algorithms for Knowledge Discovery from Data Bases Vol. 98, Springer Verlag, Heidelberg, Germany, 2008, 91-107. ISBN 978-3-540-77466-2.

Bolita[0773] J. Alcalá-Fdez, S. García, F.J. Berlanga, A. Fernandez, L. Sánchez, M.J. del Jesus, F. Herrera, KEEL: A Data Mining Software Tool Integrating Genetic Fuzzy Systems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008), Witten-Bommerholz (Germany), 83-88, 4-7 March 2008. iconPdf.png

Bolita[0830] F.J. Berlanga, M.J. del Jesus and F. Herrera, A Novel Genetic Cooperative-Competitive Fuzzy Rule Based Learning Method using Genetic Programming for High Dimensional Problems. 3rd International Workshop on Genetic and Evolving Fuzzy Systems (GEFS 2008) pp. 101-106 Witten-Bommerholz (Germany), March 2008.

Bolita[0730] S. Alonso, F.J. Cabrerizo, F. Chiclana, F. Herrera and E. Herrera-Viedma, An Interactive Decision Support System Based on Consistency Criteria. Journal of Multiple-Valued Logic & Soft Computing 14:3-5 (2008) 371-385. iconPdf.png

Bolita[0446] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma, J. Alcalá-Fdez, C. Porcel, A Consistency-Based Procedure to Estimate Missing Pairwise Preference Values. International Journal of Intelligent Systems 23:2 (2008) 155-175, doi:10.1002/int.20262. iconPdf.png

Bolita[0760] F. Herrera, Genetic Fuzzy Systems: Taxonomy, Current Research Trends and Prospects. Evolutionary Intelligence 1 (2008) 27-46, doi: 10.1007/s12065-007-0001-5. iconPdf.png

Bolita[0669] A.M. Sánchez, M. Lozano, C. García-Martínez, D. Molina, F. Herrera, Real-Parameter Crossover Operators with Multiple Descendents: An Experimental Study. International Journal of Intelligent Systems 23:2 (2008) 246-268, doi: 10.1002/int.20258. iconPdf.png

Bolita[1032] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana, Using Different Transitivity Properties to Deal With Incomplete Fuzzy Preference Relations in Group Decision Making Environments. In B. Bouchon-Meunier, R.R. Yager, C. Marsala, and M. Rifqi (eds.): Uncertainty and Intelligent Information Systems. World Scientific (2008).

Bolita[0526] C. García-Martínez, M. Lozano, F. Herrera, D. Molina, A.M. Sánchez, Global and Local Real-Coded Genetic Algorithms Based on Parent-Centric Crossover Operators. European Journal of Operational Research 185 (2008) 1088-1113, doi:10.1016/j.ejor.2006.06.043. iconPdf.png

Bolita[0756] M.J. del Jesus, P. González, and F. Herrera, Subgroup Discovery with Linguistic Rules. In: F. Herrera, J. Montero, H. Bustince (Eds.): Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer-Verlag, Studies in Fuzziness and Soft Computing, 220 (2008), 411-430. iconPdf.png

Bolita[0869] P. Ducange, R. Alcalá, F. Herrera, B. Lazzerini, F. Marcelloni, Knowledge Base Learning of Linguistic Fuzzy Rule-Based Systems in a Multi-objective Evolutionary Framework. Proceedings of the 3rd International Workshop on HYBRID ARTIFICIAL INTELLIGENCE SYSTEMS (HAIS 2008), LNAI 5271, Springer-Verlag, Burgos (Spain), 747-754, 24-26 September 2008.

Bolita Year 2007 (39):

Bolita[0654] F.A. Márquez, A. Peregrín and F. Herrera, Cooperative Evolutionary Learning of Fuzzy Rules and Parametric Aggregation Connectors for Mamdani Linguistic Fuzzy Systems. IEEE Transactions on Fuzzy Systems, 15:6 (2007) 1162-1178, doi: 10.1109/TFUZZ.2007.904121. iconPdf.png

Bolita[0651] R. Alcalá, M.J. Gacto, F. Herrera, J. Alcalá-Fdez, A Multi-objective Genetic Algorithm for Tuning and Rule Selection to Obtain Accurate and Compact Linguistic Fuzzy Rule-Based Systems. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 15:5 (2007) 539–557, doi:10.1142/S0218488507004868 . iconPdf.png

Bolita[0588] E. Herrera-Viedma, S. Alonso, F. Chiclana, F. Herrera, A Consensus Model for Group Decision Making with Incomplete Fuzzy Preference Relations. IEEE Transactions on Fuzzy Systems 15:5 (2007) 863-877, doi:10.1109/TFUZZ.2006.889952. iconPdf.png

Bolita[0668] J. Alcalá-Fdez, R. Alcalá, M.J. Gacto, F. Herrera, Aprendizaje Evolutivo de los Contextos de las Funciones de Pertenencia para Extraer Reglas de Asociación Difusas. Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy y Soft Computing, LFSC'2007 (EUSFLAT), Zaragoza (Spain), 25-32, 11-14 September 2007. iconPdf.png

Bolita[0694] S. Alonso, F.J. Cabrerizo, F. Herrera, E. Herrera-Viedma, F. Chiclana , A Procedure to Estimate Missing Information in Group Decision-Making with Fuzzy Linguistic Information. In Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2007), Zaragoza (Spain), 131-138, 11-14 September 2007. iconPdf.png

Bolita[0707] S. Alonso, F. Chiclana, E. Herrera-Viedma, F. Herrera, Consistency of Reciprocal Fuzzy Preference Relations. In Proceedings of the II Congreso Español de Informática (CEDI 2007). II Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2007), Zaragoza (Spain), 123-130, 11-14 September 2007. iconPdf.png

Bolita[0344] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera, Local Identification of Prototypes for Genetic Learning of Accurate TSK Fuzzy Rule-Based Systems. International Journal of Intelligent Systems 22:9 (2007) 909-941, doi:10.1002/int.20232. iconPdf.png

Bolita[0719] S. García, D. Molina, F. Herrera, M. Lozano, Tests no paramétricos de comparaciones múltiples con algoritmo de control en el análisis de algoritmos evolutivos: Un caso de estudio con los resultados de la sesión especial en optimización continua. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 219-227, 11-14 September 2007. iconPdf.png

Bolita[0724] J.R. Cano, S. García, F. Herrera, E. Bernadó-Mansilla, Analysis of Evolutionary Prototype Selection by means of a Data Complexity Measure based on Class Separability. Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), Zaragoza (Spain), 57-63, 11-14 September 2007. iconPdf.png

Bolita[0723] S. García, A. Fernandez, A.D. Benítez, F. Herrera, Statistical Comparisons by Means of Non-Parametric Tests: A Case Study on Genetic Based Machine Learning. Proceedings of the II Congreso Español de Informática (CEDI 2007). V Taller Nacional de Minería de Datos y Aprendizaje (TAMIDA 2007), Zaragoza (Spain), 95-104, 11-14 September 2007. iconPdf.png

Bolita[0722] J. Luengo, S. García, F. Herrera, Estudio de la influencia de los métodos de imputación en Redes Neuronales de Base Radial para clasificación. Proceedings of the II Congreso Español de Informática (CEDI 2007). Simposio de Inteligencia Computacional (SICO2007), Zaragoza (Spain), 81-88, 11-14 September 2007. iconPdf.png

Bolita[0718] D. Molina, F. Herrera, M. Lozano, Algoritmo Memético con Intensidad de Busqueda Local Adaptativa. Proceedings of the II Congreso Español de Informática (CEDI 2007). I Jornadas sobre Algoritmos Evolutivos y Metaheurísticas (JAEM'07), Zaragoza (Spain), 195-202, 11-14 September 2007. iconPdf.png

Bolita[0598] R. Alcalá, J. Alcalá-Fdez, F. Herrera, A Proposal for the Genetic Lateral Tuning of Linguistic Fuzzy Systems and its Interaction with Rule Selection. IEEE Transactions on Fuzzy Systems 15:4 (2007) 616-635, doi:10.1109/TFUZZ.2006.889880. iconPdf.png

Bolita[0589] M.J. del Jesus, P. González, F. Herrera, M. Mesonero, Evolutionary Fuzzy Rule Induction Process for Subgroup Discovery: A Case Study in Marketing. IEEE Transactions on Fuzzy Systems 15:4 (2007) 578-592, doi:10.1109/TFUZZ.2006.890662. iconPdf.png

Bolita[0657] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, A Multi-Objective Evolutionary Algorithm for Rule Selection and Tuning on Fuzzy Rule-Based Systems. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1367-1372, 23-26 July 2007. iconPdf.png

Bolita[0658] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Genetic Learning of Membership Functions for Mining Fuzzy Association Rules. In Proceedings of the 16th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1538-1543, 23-26 July 2007. iconPdf.png

Bolita[0665] A. Fernandez, S. García, M.J. del Jesus, F. Herrera, An Analysis of the Rule Weights and Fuzzy Reasoning Methods for Linguistic Rule Based Classification Systems Applied to Problems with Highly Imbalanced Data Sets. International Workshop on Fuzzy Logic and Applications (WILF07). Lecture Notes in Computer Science 4578, Springer-Verlag 2007, Genova (Italy, 2007), 170-179. iconPdf.png

Bolita[0696] S. Alonso, E. Herrera-Viedma, F.J. Cabrerizo, F. Chiclana, F. Herrera, Visualizing Consensus in Group Decision Making Situations. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1818-1823, 23-26 July 2007. iconPdf.png

Bolita[0697] F. Chiclana, E. Herrera-Viedma, S. Alonso, F. Herrera, Consistency of Reciprocal Preference Relations. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1119-1124, 23-26 July 2007. iconPdf.png

Bolita[0731] J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera, Niching Genetic Feature Selection Algorithms Applied to the Design of Fuzzy Rule Based Classification Systems. Proceedings of the 2007 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2007), London (UK), 1794-1799, 23-26 July 2007. iconPdf.png

Bolita[0725] J. Luengo, S. García, F. Herrera, A Study on the Use of Statistical Tests for Experimentation with Neural Networks. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 72-79, June 2007. iconPdf.png

Bolita[0699] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, C. Porcel, S. Alonso, Multi-objective Evolutionary Algorithms in the Automatic Learning of Boolean Queries: A Comparative Study. In O. Castillo, P. Melin, O. Montiel, R. Sepúlveda, W. Pedrycz, J. Kacprzyk (Eds.) Theoretical Advances and Applications of Fuzzy Logic and Soft Computing (Advances in Soft Computing 42), ISBN 978-3-540-72433-9. Springer-Verlag, Berlin (2007) 71-80.

Bolita[0664] A. Fernandez, S. García, M.J. del Jesus, F. Herrera, A study on the Use of the Fuzzy Reasoning Method based on the Winning Rule Vs. Voting Procedure for Classification with Imbalanced Data Sets. Proceedings of the 9th International Work-Conference on Artificial Neural Networks (IWANN07). Lecture Notes on Computer Science 4507, Springer-Verlag, San Sebastián (Spain), 375-382, June 2007. iconPdf.png

Bolita[0597] F. Chiclana, E. Herrera-Viedma, F. Herrera, S. Alonso, Some Induced Ordered Weighted Averaging Operators and Their Use for Solving Group Decision-Making Problems based on Fuzzy Preference Relations. European Journal of Operational Research, 182:1 (2007) 383-399, doi:10.1016/j.ejor.2006.08.032. iconPdf.png

Bolita[0763] M.J. del Jesús, P. González, F. Herrera, Multiobjective Genetic Algorithm for Extracting Subgroup Discovery Fuzzy Rules. First IEEE Symposium on Computational Intelligence in Multi-Criteria Decision-Making (MCDM 2007), Honolulu (USA), 50-47, 1-5 April 2007.

Bolita[0666] S. Alonso, F.J. Cabrerizo, E. Herrera-Viedma, F. Herrera, F. Chiclana, A Web Consensus Support System to Deal with GDM Problems under Incomplete Fuzzy Preference Relations. Proceedings of EUROFUSE Workshop on New Trends in Preference Modeling (EUROFUSE'07), Jaén (Spain), 15-20, 11-13 April 2007. iconPdf.png

Bolita[0630] S. García, D. Molina, M. Lozano, F. Herrera, Un estudio experimental sobre el uso de test no paramétricos para analizar el comportamiento de los algoritmos evolutivos en problemas de optimización. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 275-285, 14-16 February 2007. iconPdf.png

Bolita[0629] S. García, J.R. Cano, F. Herrera, Un algoritmo memético para la selección de prototipos: Una propuesta eficiente para problemas de tamaño medio. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 563-570, 14-16 February 2007. iconPdf.png

Bolita[0672] F. Herrera, P. Villar, Un algoritmo genético para aprendizaje de un sistema basado en reglas difusas tipo Takagi-Sugeno. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 543-548, 14-16 February 2007. iconPdf.png

Bolita[0673] J.J. Aguilera, M. Chica, M.J. del Jesus, F. Herrera, Un estudio sobre el uso de algoritmos genéticos multimodales para selección de características. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 485-492, 14-16 February 2007. iconPdf.png

Bolita[0675] F. Herrera, M. Lozano, A.M. Sánchez, Algoritmos genéticos con codificación real:Operadores de cruce híbridos basados en entornos con múltiples descendientes. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 827-834, 14-16 February 2007. iconPdf.png

Bolita[0677] C. Romero, P. González, S. Ventura, M.J. del Jesus, F. Herrera, Aplicación de algoritmos evolutivos de descubrimiento de subgrupos en e-learning: un caso de estudio analizando cursos de Moodle. In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 493-500, 14-16 February 2007. iconPdf.png

Bolita[0679] M. E. Pérez, F. Herrera, Algoritmos genéticos multimodales: Un estudio sobre la parametrización del método clearing apliado al problema "Job Shop". In Proceedings Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB07), Tenerife (Spain), 851-858, 14-16 February 2007. iconPdf.png

Bolita[0427] E. Herrera-Viedma, F. Chiclana, F. Herrera, S. Alonso, Group Decision-Making Model with Incomplete Fuzzy Preference Relations Based on Additive Consistency. IEEE Transactions on Systems, Man and Cybernetics, Part B, Cybernetics, 37:1 (2007) 176-189, doi:10.1109/TSMCB.2006.875872. iconPdf.png

Bolita[0572] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero, Genetic Learning of Accurate and Compact Fuzzy Rule Based Systems Based on the 2-Tuples Linguistic Representation. International Journal of Approximate Reasoning 44:1 (2007) 45-64, doi:10.1016/j.ijar.2006.02.007. iconPdf.png

Bolita[0556] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Rule Base Reduction and Genetic Tuning of Fuzzy Systems based on the Linguistic 3-Tuples Representation. Soft Computing 11:5 (2007) 401-419, doi:10.1007/s00500-006-0106-2. iconPdf.png

Bolita[0590] C. García-Martínez, O. Cordón, F. Herrera, A Taxonomy and an Empirical Análisis of Multiple Objective Ant Colony Optimization Algorithms for Bi-criteria TSP. European Journal of Operational Research 180:1 (2007) 116-148, doi: 10.1016/j.ejor.2006.03.041. iconPdf.png

Bolita[0346] J. Alcalá-Fdez, F. Herrera, F. Márquez, A. Peregrín, Increasing Fuzzy Rules Cooperation Based on Evolutionary Adaptive Inference Systems. International Journal of Intelligent Systems 22:9 (2007) 1035-1064, doi:10.1002/int.20237. iconPdf.png

Bolita[0543] J.R. Cano, F. Herrera, M. Lozano, Evolutionary Stratified Training Set Selection for Extracting Classification Rules with Trade-off Precision-Interpretability. Data and Knowledge Engineering 60 (2007) 90-108, doi:10.1016/j.datak.2006.01.008. iconPdf.png

Bolita Year 2006 (26):

Bolita[0649] A.G. López-Herrera, E. Herrera-Viedma, F. Herrera, A. Zafra, M. Luque, Aplicando Algoritmos Genéticos Multiobjetivo al Aprendizaje Automático de Consultas Booleanas Extendidas en SRI Lingüísticos Difusos. Proceedings of the I International Conference on Multidisciplinary Information Sciences & Technologies (INSCIT 2006), Mérida (Spain), Volumen II, 194-198, October 2006. iconPdf.png

Bolita[0648] A.G. López-Herrera, F. Herrera, E. Herrera-Viedma, A. Zafra, M. Luque, Aprendiendo Consultas Lingüísticas Difusas con Algoritmos Evolutivos Multiobjetivo. Estudio preliminar. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 247-252, 20-22 September 2006, ISBN 84-689-9547-9. iconPdf.png

Bolita[0641] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana, Dealing With Ignorance Problems in Decision Making Under Fuzzy Preference Relations. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 295-300, 20-22 September 2006, ISBN 84-689-9547-9. iconPdf.png

Bolita[0751] F. Herrera, F.A. Márquez, A. Peregrín, Aprendizaje evolutivo cooperativo de reglas y operadores para sistemas difusos lingüísticos. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 123-128, 20-22 September 2006, ISBN 84-689-9547-9. iconPdf.png

Bolita[0655] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Obtaining Compact and Still Accurate Linguistic Fuzzy Rule-Based Systems by Using Multi-Objetive Genetic Algorithms. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 53-62, 27-28 September 2006.

Bolita[0612] A. Fernandez, S. García, F. Herrera, M.J. del Jesus, Un primer estudio sobre el uso de los sistemas de clasificación basados en reglas difusas en problemas de clasificación con clases no balanceadas. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 89-95, 20-22 September 2006, ISBN 84-689-9547-9. iconPdf.png

Bolita[0611] M.J. del Jesus, A. Fernandez, S. García, F. Herrera, A first study on the use of fuzzy rule based classification systems for problems with imbalanced data sets. Proceedings of the Symposium on Fuzzy Systems in Computer Science (FSCS 2006), Magdeburg (Germany), 63-72, 27-28 September 2006. iconPdf.png

Bolita[0614] S. García, J.R. Cano, A. Fernandez, F. Herrera, A proposal of evolutionary prototype selection for class imbalance problems. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1415-1423, September 2006. iconPdf.png

Bolita[0633] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Obtención de Sistemas Basados en Reglas Difusas Precisos y Compactos Mediante Algoritmos Genéticos Multiobjetivo. Proceedings of the XIII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF 2006), Ciudad Real (Spain), 1-6, 20-22 September 2006, ISBN 84-689-9547-9.

Bolita[0613] S. García, J.R. Cano, F. Herrera, Incorporating knowledge in evolutionary prototype selection. Proceedings of the 7th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Lecture Notes in Computer Science 4224, Springer-Verlag 2006, Burgos (Spain) 1358-1366, September 2006. iconPdf.png

Bolita[0640] S. Alonso, E. Herrera-Viedma, F. Herrera, F.J. Cabrerizo, F. Chiclana, An Interactive Support system To Aid Experts to Express Consistent Preferences. Proceedings of the 7th International FLINS Conference on Applied Artificial Intelligence, Genove (Italy), 425-432, August 2006. iconPdf.png

Bolita[0592] S. Alonso, E. Herrera-Viedma, F. Herrera, F. Chiclana, A General Procedure to Estimate Missing Values for Incomplete Fuzzy Preference Relations. Proceedings of the 11th Information Processing and Management of Uncertainty in Knowledge-based Systems (IPMU 2006), Paris (France), 1796-1802, 2-7 July 2006. iconPdf.png

Bolita[0652] F.J. Berlanga, M.J. del Jesus, M.J. Gacto, F. Herrera, A Genetic-Programming-Based Approach for the Learning of Compact Fuzzy Rule-Based Classification Systems. Proceedings of the International Conference on Artificial Intelligence and Soft Computing (ICAISC 2006), Zakopane (Poland), Lecture Notes in Computer Science 4029, 182-191, 25-29 June 2006. iconPdf.png

Bolita[0632] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera, Genetic Lateral and Amplitude Tuning with Rule Selection for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Proceedings of the 19th International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA/AIE06), LNCS 4031, Springer-Verlag, Annecy (France), 452-461, 27-30 June 2006. ISSN 0302-9743. iconPdf.png

Bolita[0678] F. Herrera, J.R. Cano, Técnicas de reducción de datos en KDD. El uso de Algoritmos Evolutivos para la Selección de Instancias. Actas del I Seminario Sobre Sistemas Inteligentes (SSI'06), Universidad Rey Juan Carlos, Madrid (Spain), 165-181, Mayo 2006. iconPdf.png

Bolita[0525] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera, C. Porcel, Strategies to Manage Ignorance Situations in Multiperson Decision Making Problems. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 34-45, 3-5 April 2006. ISSN 0302-9743. iconPdf.png

Bolita[0573] R. Alcalá, J. Alcalá-Fdez, F.J. Berlanga, M.J. Gacto, F. Herrera, Improving Fuzzy Rule-Based Decision Models by Means of a Genetic 2-Tuples Based Tuning and the Rule Selection. Modeling Decisions for Artificial Intelligence 2006 (MDAI 2006), Tarragona (Spain), Lecture Notes on Artificial Intelligence 3885, 317-328, 3-5 April 2006. ISSN 0302-9743. iconPdf.png

Bolita[0497] F. Herrera, E. Herrera-Viedma, L. Martínez, L.G. Pérez, A.G. López-Herrera, S. Alonso, A Multi-granular Linguistic Hierarchical Model To Evaluate The Quality Of Web site Services. In C. Kahraman (Ed.): Fuzzy Set Techniques in Industrial Engineering. International Series "Studies in Fuzziness and Soft Computing" 201. Springer Verlag, Heidelberg. Germany (2006) 247-274. I.S.B.N.: 3-540-33516-1. iconPdf.png

Bolita[0343] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera, Hybrid learning models to get the interpretability-accuracy trade-off in Fuzzy Modelling. Soft Computing 10:9 (2006) 717-734, doi: 10.1007/s00500-005-0002-1. iconPdf.png

Bolita[0577] L. Martínez, L.G. Pérez, J. Liu, J.B. Yang, F. Herrera, A Linguistic Hierarchical Evaluation Model for Engineering Systems. In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (Eds.): Modern Information Processing. From Theory to Applications. Elsevier (2006) 295-305.

Bolita[0342] F. Herrera, M. Lozano, D. Molina, Continuous Scatter Search: An Analysis of the Integration of Some Combination Methods and Improvement Strategies. European Journal of Operational Research 169:2 (2006) 450-476, doi: 10.1016/j.ejor.2004.08.009 . iconPdf.png

Bolita[0631] F.J. Berlanga, M.J. del Jesus, P. González, F. Herrera, M. Mesonero, Multiobjective Evolutionary Induction of Subgroup Discovery Fuzzy Rules: A Case Study in Marketing. 6th Industrial Conference on Data Mining (ICDM 2006), Leipzig (Germany). Lecture Notes in Computer Science 4065, 337-349, 2006. iconPdf.png

Bolita[0639] S. Alonso, E. Herrera-Viedma, F. Herrera, F.J. Cabrerizo, F. Chiclana, A Decision aid System to Provide Consistent Linguistic Preference Relations. Proceedings of the 6th International Conference on Recent Advances in Soft Computing (RASC 2006), Canterbury (UK), 130-135, 2006. iconPdf.png

Bolita[0576] F. Chiclana, E. Herrera-Viedma, F. Herrera, New Consistency Properties for Preference Relations. In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (Eds.): Modern Information Processing. From Theory to Applications. Elsevier (2006) 121-131.

Bolita[0571] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Fuzzy Rule Reduction and Tuning of Fuzzy Logic Controllers for a HVAC System. In C. Kahraman (Ed.): Fuzzy Applications in Industrial Engineering, Studies in Fuzziness and Soft Computing Vol. 201, Springer Verlag, Heidelberg, Germany, 2006, 89-117. ISBN 978-3-540-33516-0. iconPdf.png

Bolita[0434] J.R. Cano, F. Herrera, M. Lozano, On the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. Applied Soft Computing 6 (2006) 323-332, doi: 10.1016/j.asoc.2005.02.006. iconPdf.png

Bolita Year 2005 (34):

Bolita[0551] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Genetic Lateral and Amplitude Tuning of Membership Functions for Fuzzy Systems. Proceedings of the 2nd International Conference on Machine Intelligence (ACIDCA-ICMI05). Tozeur (Tunisia), 589-595, November 5-7, 2005. iconPdf.png

Bolita[0470] L. Martínez, J. Liu, J.B. Yang, F. Herrera, A Multigranular Hierarchical Linguistic Model for Design Evaluation Based on Safety and Cost Analysis. International Journal of Intelligent Systems 20 (2005) 1161-1194, doi: 10.1002/int.20107 . iconPdf.png

Bolita[0499] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera, An Approach to Consensus Reaching in Multiperson Decision Making Problems with Incomplete Information. In Proceedings of the Joint EUSFLAT-LFA (IV EUSFLAT and XI LFA), September 7-9, Barcelona (Spain), 904-909, 2005. iconPdf.png

Bolita[0498] S. Alonso, E. Herrera-Viedma, F. Chiclana, F. Herrera, Managing Incomplete Information in Consensus Processes. In Proceedings of the I Congreso Español de Informática (CEDI 2005). Simposio sobre Lógica Fuzzy and Soft Computing (LFSC 2005), 13-16 September, Granada (Spain), 175-182, 2005. iconPdf.png

Bolita[0493] D. Molina, F. Herrera, M. Lozano, Adaptive Local Search Parameters for Real-Coded Memetic Algorithms. 2005 IEEE Congress on Evolutionary Computation, 2-5 September 2005, Edinburg (Scotland), 888-895.

Bolita[0522] M. Lozano, F. Herrera, C. García-Martínez, Técnicas de diversificación para la mejora de los operadores de cruce centrados en un padre.. IV Congreso de Metaheurísticas, Algoritmos Evolutivos y Bioinsipirados (MAEB'05), Granada, España, Septiembre, 2005, 389 - 396.

Bolita[0552] R. Alcalá, J. Alcalá-Fdez, M.J. Gacto, F. Herrera, Ajuste Evolutivo Lateral y de Amplitud de etiquetas para Sistemas Basados en Reglas Difusas. Simposio de Inteligencia Computacional (SICO2005), Granada (Spain), 481-488, September 13-16, 2005. ISBN 84-9732-444-7. iconPdf.png

Bolita[0500] D. Molina, F. Herrera, M. Lozano, Técnicas de Diversidad para Algoritmos Meméticos: un estudio experimental. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 39-46, 2005. iconPdf.png

Bolita[0477] D. Molina, F. Herrera, M. Lozano, C. García-Martínez, A.M. Sánchez, Técnicas de Diversidad para Algoritmos Meméticos. Proceeding del Segundo Congreso Mexicano de Computación Evolutiva "COMCEV 2005", 2005, 29-34.

Bolita[0455] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero, Genetic Learning of the Knowledge Base of a Fuzzy System by Using the Linguistic 2-Tuples Representation. In Proceedings of the 14th IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2005), Reno, Nevada (USA), 797-802, May 22-25, 2005. ISBN 0-7803-9159-4. iconPdf.png

Bolita[0340] R. Alcalá, J. Casillas, O. Cordón, A. González, F. Herrera, A Genetic Rule Weighting and Selection Process for Fuzzy Control of Heating, Ventilating and Air Conditioning Systems. Engineering Applications of Artificial Intelligence 18:3 (2005) 279-296, doi: 10.1016/j.engappai.2004.09.007. iconPdf.png

Bolita[0335] F. Herrera, M. Lozano, A.M. Sánchez, Hybrid Crossover Operators for Real-Coded Genetic Algorithms: An Experimental Study. Soft Computing 9:4 (2005) 280-298, doi: 10.1007/s00500-004-0380-9. iconPdf.png

Bolita[0456] R. Alcalá, J. Alcalá-Fdez, F. Herrera, J. Otero, A New Genetic Fuzzy System Based on Linguistic 2-Tuples to Learn Knowledge Bases. Proceedings of the 1st International Workshop on Genetic Fuzzy Systems (GFS 2005), Granada (Spain), 107-112, March 17-19, 2005. ISBN 84-689-1117-8. iconPdf.png

Bolita[0347] J. Casillas, O. Cordón, I. Fernández de Viana, F. Herrera, Learning Cooperative Linguistic Fuzzy Rules Using the Best-Worst Ant Systems Algorithm. International Journal of Intelligent Systems 20 (2005) 433-452, doi: 10.1002/int.20074. iconPdf.png

Bolita[0339] J. Casillas, O. Cordón, M.J. del Jesús, F. Herrera, Genetic Tuning of Fuzzy Rule Deep Structures Preserving Interpretability and Its Interaction With Fuzzy Rule Set Reduction. IEEE Trans. on Fuzzy Systems 13:1 (2005) 13-29, doi: 10.1109/TFUZZ.2004.839670. iconPdf.png

Bolita[0401] J.R. Cano, F. Herrera, M. Lozano, Stratification for Scaling Up Evolutionary Prototype Selection. Pattern Recognition Letters, 26, (2005), 953-963, doi: 10.1016/j.patrec.2004.09.043 . iconPdf.png

Bolita[0548] F.J. Berlanga, M.J. del Jesus, F. Herrera, Aprendizaje de reglas difusas mediante programación genética en problemas con alta dimensionalidad. I Simposio sobre Lógica Fuzzy y Soft Computing (LFSC'05), Granada (España), 93-100, 2005. iconPdf.png

Bolita[0550] F.J Berlanga, M.J. del Jesus, F. Herrera, Learning fuzzy rules using genetic programming: Context-free grammar definition for high-dimensionality problems. I Workshop on Genetic Fuzzy Systems (GFS'05), Granada (Spain), 136-141, 2005. iconPdf.png

Bolita[0557] M.J. del Jesus, P. González, F. Herrera, M. Mesonero, Evolutionary induction of descriptive fuzzy rules in a market problem. I International Workshop on Genetic Fuzzy Systems (GFS'05). Granada (Spain), 57-63, 2005. iconPdf.png

Bolita[0558] M.J. del Jesus, P. González, F. Herrera, Inducción evolutiva multiobjetivo de reglas de descripción de subgrupos en un problema de marketing. IV Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'05 - CEDI). Granada (Spain), 661-669, 2005. iconPdf.png

Bolita[0560] J.R. Cano, F. Herrera, M. Lozano, A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In: F. Hoffmann, M. Köppen, F. Klawonn, R. Roy, (Eds.): Soft Computing: Methodologies and Applications, Advances in Soft Computing Series, Springer-Verlag, (2005), 271-284.

Bolita[0561] A.M. Sánchez, F. Herrera, M. Lozano, P. Villar, Estudio de operadores de cruce con múltiples descendientes para algoritmos genéticos con codificación real. In Proceedings del MAEB'05 (Cuarto congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Granada (Spain), 31-38, 2005.

Bolita[0338] F. Herrera, L. Martínez, P.J. Sánchez, Managing Non-Homogeneous Information in Group Decision Making. European Journal of Operational Research 166 (2005) 115-132, doi:10.1016/j.ejor.2003.11.031. iconPdf.png

Bolita[0125] J.R. Cano, F. Herrera, M. Lozano, Instance Selection Using Evolutionary Algorithms: An Experimental Study. In: N. Pal, H.N. Teodorescu, L.C. Jain (Eds.): Knowledge Discovery in Advanced Information Systems, Springer Verlag, 2005, 127-152.

Bolita[0583] M. Lozano, F. Herrera, J.R. Cano, Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms. F. Hoffmann, M. Köppen, F. Klawonn, R. Roy (eds.): Soft Computing: Methodologies and Applications. Advances in Soft Computing Series, Springer-Verlag (2005) 85-96. iconPdf.png

Bolita[0539] F. Berlanga, M.J. del Jesus, P. González, F. Herrera, Multiobjective evolutionary induction of subgroup discovery rules in a market problem. International Conference on Machine Intelligence, Tozeur-Tunisia, 610-617, 2005.

Bolita[0501] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma, Group Decision Making With Incomplete Information. In: Herrera-Viedma, E. (ed.): Procesos de Toma de Decisiones, Modelado y Agregación de Preferencias. Granada (2005) 21-30. I.S.B.N.: 84-934654-1-0. iconPdf.png

Bolita[0502] S. Alonso, F. Herrera, E. Herrera-Viedma, C. Porcel, Fuzzy Linguistic Preference Modelling for Group Decision Making. In: Herrera-Viedma, E. (ed.): Procesos de Toma de Decisiones, Modelado y Agregación de Preferencias. Granada (2005) 55-63. I.S.B.N.: 84-934654-1-0. iconPdf.png

Bolita[0504] F. Herrera, Genetic Fuzzy Systems: Status, Critical Considerations and Future Directions. International Journal of Computational Intelligence Research (IJCIR) 1:1 (2005) 59-67. iconPdf.png

Bolita[0476] J.R. Cano, F. Herrera, M. Lozano, Strategies for Scaling Up Evolutionary Instance Reduction Algorithms for Data Mining. Evolutionary Computation in Data Mining, A. Ghosh, L.C. Jain (Eds.), Springer-Verlag, 2005, 21-39. iconPdf.png

Bolita[0475] J.R. Cano, F. Herrera, Técnicas de Reducción de Datos en KDD. Minería de Datos: Técnicas y Aplicaciones, J.A.Gámez, I. García-Varea, J. Hernández-Orallo, 2005, 13-33.

Bolita[0474] M.J. del Jesus, P. González, F. Herrera, M. Mesonero, Evolutionary Induction of Descriptive Rules in a Market Problem. In: D. Ruan, G. Chen, E.E. Kerrera, G. Wets (Eds.): Intelligent Data Mining. Techniques and Applications. Springer-Verlag, 2005, 267-292. iconPdf.png

Bolita[0473] E. Herrera-Viedma, C. Porcel, F. Herrera, L. Martínez, A.G. López-Herrera, Techniques to Improve Multi-Agent Systems for Searching and Mining the Web. In: D. Ruan, G. Chen, E.E. Kerrera, G. Wets (Eds.): Intelligent Data Mining. Techniques and Applications. Springer-Verlag, 2005, 463-486. iconPdf.png

Bolita[0540] J.R. Cano, F. Herrera, M. Lozano, Extracción de Modelos Predictivos Interpretables en Conjuntos de Datos de Tamaño Grande mediante la Selección de Conjuntos de Entrenamiento. Actas del III Taller de Minería de Datos y Aprendizaje (TAMIDA'2005), 145-152, 2005.

Bolita Year 2004 (39):

Bolita[0533] F. Chiclana, S. Alonso, F. Herrera, E. Herrera-Viedma, Additive Consistency as a Tool to Solve Group Decision Making Problems. In Proceedings of the 5th International Conference on Recent Advances in Soft Computing (RASC 2004), Nottingham (UK), 237-242, 2004. iconPdf.png

Bolita[0336] E. Herrera-Viedma, F. Herrera, L. Martínez, J.C. Herrera, A.G. López-Herrera, Incorporating Filtering Techniques in a Fuzzy Linguistic Multi-Agent Model for Information Gathering on the Web. Fuzzy Sets and Systems 148:1 (2004) 61-83, doi: 10.1016/j.fss.2004.03.006. iconPdf.png

Bolita[0395] J. Alcalá-Fdez, R. Alcalá, F. Herrera, Aprendizaje y Ajuste Genético De Sistemas Difusos Basado en la Representación de 2-Tuplas Lingüísticas. Actas del XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 333-338, September 15-17, 2004. ISBN 84-609-2160-3. iconPdf.png

Bolita[0400] R. Alcalá, F. Herrera, Genetic Tuning on Fuzzy Systems Based on the Linguistic 2-Tuples Representation. IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2004), Vol. 1, Budapest (Hungary), 233-238, July 25-29, 2004. ISBN 0-7803-8353-2.

Bolita[0005] E. Herrera-Viedma, F. Herrera, F. Chiclana, M. Luque, Some Issues on Consistency of Fuzzy Preference Relations. European Journal of Operational Research 154 (2004) 98-109, doi: 10.1016/S0377-2217(02)00725-7. iconPdf.png

Bolita[0333] F. Chiclana, E. Herrera-Viedma, F. Herrera, S. Alonso, Induced Ordered Weighted Geometric Operators and Their Use in the Aggregation of Multiplicative Preference Relations. International Journal of Intelligent Systems 19:3 (2004) 233-255, doi: 10.1002/int.10172. iconPdf.png

Bolita[0389] O. Cordón, I. Fernández de Viana, F. Herrera, Análisis Estadístico de los Parámetros del Sistema de la Mejor-Peor Hormiga. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 478-485, 2004.

Bolita[0394] F. Herrera, F.A. Márquez, A. Peregrín, Cooperación De Reglas Difusas Basada En La Adaptación Evolutiva De Los Operadores De Conjunción y Los Defuzzyficadores. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 231-236, 2004. iconPdf.png

Bolita[0396] M.J. del Jesus, P. González, F. Herrera, M. Mesonero, Extracción de Reglas DNF Difusas En Un Problema de Marketing. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 351-356, 2004. iconPdf.png

Bolita[0397] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma, An IOWA Operator Based On Additive Consistency For Group Decision Making. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 443-448, 2004. iconPdf.png

Bolita[0337] M. Lozano, F. Herrera, N. Krasnogor, D. Molina, Real-Coded Memetic Algorithms with Crossover Hill-Climbing. Evolutionary Computation 12:3 (2004) 273-302, doi: 10.1162/1063656041774983. iconPdf.png

Bolita[0334] F. Chiclana, F. Herrera, E. Herrera-Viedma, A Study on the Rationality of Induced Ordered Weighted Operators Based on the Reliability of the Information Sources for Aggregation for Group Decision-Making. Kybernetika 40:1 (2004) 121-142. iconPdf.png

Bolita[0331] O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena, Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Fuzzy Sets and Systems 141:1 (2004) 5-31, doi: 10.1016/S0165-0114(03)00111-8. iconPdf.png

Bolita[0350] M.J. del Jesus, P. González, F. Herrera, Extracción de Conocimiento con Algoritmos Evolutivos y Reglas Difusas. Introducción a la Minería de Datos, J. Hernández, M.J. Ramírez, C. Ferri (Eds.), Prentice Hall, 2004, 383-419.

Bolita[0349] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera, La Metaheurística de Optimización Basada en Colonias de Hormigas: Modelos y Nuevos Enfoques. G. Joya, M.A. Atencia, A. Ochoa, S. Allende (Eds.), Optimizacion Inteligente: Técnicas de Inteligencia Computacional para Optimización, 2004, Servicio de Publicaciones de la Universidad de Málaga, 261-313 [ISBN: 84-9747-034-6]. iconPdf.png

Bolita[0348] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera, Integrating Evolutionary Computation Components in Ant Colony Optimization. Recent Developments in Biologically Inspired Computing, L. Nunes de Castro, F.J. Von Zuben (Eds.), Idea Group Publishing, 2004, 148-180 [ISBN: 1-59140-312-X]. iconPdf.png

Bolita[0332] O. Cordón, F. Herrera, F.A. Márquez, A. Peregrin, A Study on the Evolutionary Adaptive Defuzzification Methods in Fuzzy Modelling. International Journal of Hybrid Intelligent Systems 1:1 (2004) 36-48.

Bolita[0391] F. Herrera, Sistemas Difusos Evolutivos. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 1-8, 2004. iconPdf.png

Bolita[0398] C. García-Martínez, F. Herrera, L. Martinez, L.G. Pérez, P.J. Sánchez, Diagrama UML Para Modelos De Toma de Decisión Con Información Heterogénea. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 473-478, 2004. iconPdf.png

Bolita[0388] J. Casillas, F. Herrera, Experiencias Docentes sobre la Enseñanza de Metaheurísticas en Ingeniería Informática en la Unioversidad de Granada. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 329-335, 2004.

Bolita[0368] R. Romero Zaliz, I. Zwir, F. Herrera, Búsqueda Dispersa Multiobjetivo de Promotores en secuencias de ADN. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 141-147, 2004. iconPdf.png

Bolita[0370] J. Alcalá-Fdez, R. Alcalá, O. Cordón, F. Herrera, Aprendizaje de Pesos y Selección Evolutiva para la Reducción de la Base de Reglas Difusas. Actas del Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'04), Córdoba (Spain), 118-125, February 4-6, 2004. ISBN 84-688-4224-9. iconPdf.png

Bolita[0371] M.J. del Jesus, P. González, F. Herrera, M. Mesonero, Algoritmo Evolutivo de Extracción de Reglas de Asociación aplicado a un Problema de Marketing. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 102-109, 2004.

Bolita[0375] S. Alonso, F. Chiclana, F. Herrera, E. Herrera-Viedma, A Learning Procedure to Estimate Missing Values in Fuzzy Preference Relations Based on Additive Consistency. Modeling Decisions for Artificial Intelligence: First International Conference, MDAI 2004, Barcelona (Spain), Lect. Notes in Computer Science 3131, 227-238, August 2-4, 2004. iconPdf.png

Bolita[0378] F. Chiclana, E. Herrera-Viedma, F. Herrera, Consistency Properties for Preference Relations: T-additive and T-multiplicative Transitivity. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia (Italy), 403-410, 2004. iconPdf.png

Bolita[0380] J. Casillas, O. Cordón, F. Herrera, P. Villar, A hybrid learning process for the knowledge base of a fuzzy rule-based system. 10th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2004), Perugia (Italy), 2189-2196, 2004.

Bolita[0424] C. García-Martínez, O. Cordón, F. Herrera, An Empirical Analysis of Multiple Objective Ant Colony Optimziation Algorithms for the Bi-criteria TSP. 4th International Workshop, ANTS2004, Brussels (Belgium). M. Dorigo, M. Birattari, C. Blum, L.M. Bambardella, F. Mondada, T. Stützle (Eds.), LNCS 3172, 61-72, September 2004. iconPdf.png

Bolita[0383] J. Casillas, O. Cordón, F. Herrera, P. Villar, Aprendizaje híbrido de la base de conocimiento de un sistema basado en reglas difusas mediante algoritmos genéticos y colonias de hormigas. Proceedings of the XII Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2004), Jaén (Spain), 357-362, 2004. iconPdf.png

Bolita[0386] J.R. Cano, F. Herrera, M. Lozano, Estratificación y Selección Evolutiva de Prototipos Aplicadas a Bases de Datos de Gran Tamaño. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 211-220, 2004.

Bolita[0468] L. Martinez, J. Liu, J-B Yang, F. Herrera, A Linguistic Hierarchical Decision Making Model for Evaluating Engineering Systems. Tenth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2004. Perugia, (Italy), Vol. III, 1575-1582, 2004.

Bolita[0511] J.R. Cano, F. Herrera, M. Lozano, Selección Evolutiva Estratificada de Conjuntos de Entrenamiento para la Obtención de Bases de Reglas con un Alto Equilibrio entre Precisión e Interpretabilidad. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds): Tendencias de la Minería de Datos en España. (2004) 263 - 274. ISBN: 84-688-8442-1..

Bolita[0512] J. Alcalá-Fdez, M. J. del Jesús, J. M. Garrell, F. Herrera, C. Hervás, L. Sánchez, Proyecto KEEL: Desarrollo de una Herramienta para el Análisis e Implementación de Algoritmos de Extracción de Conocimiento Evolutivos. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds.): Tendencias de la Minería de Datos en España, 2004, 413-424. ISBN: 84-688-8442-1.

Bolita[0513] F. Herrera, C. Hervás, J. Otero, L. Sánchez, Un estudio empírico preliminar sobre los test estadísticos más habituales en el aprendizaje automático. En: Giráldez, R., Riquelme, J. C., Aguilar, J. S. (eds.): Tendencias de la Minería de Datos en España. (2004) 403 - 412. ISBN: 84-688-8442-1.

Bolita[0520] J. R. Cano, F. Herrera, M. Lozano, Evolutionary Stratified Instance Selection applied to Training Set Selection for Extracting High Precise-Interpretable Classification Rules. In Proceedings of the IEEE ICDM 2004 Workshop on Alternative Techniques for Data Mining and Knwoledge Discovery, November 2004.

Bolita[0387] F. Herrera, M. Lozano, A.M. Sánchez, Operadores de Cruce con Múltiples Descendientes para Algoritmos Genéticos con Codificación Real: Estudio Experimental. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 292-299, 2004.

Bolita[0372] M. Lozano, F. Herrera, N. Krasnogor, D. Molina, Algoritmos Meméticos con Codificación Real con Técnicas de Ascensión de Colinas Basadas en el Cruce. In Proceedings del MAEB'04 (Tercer congreso español de Metaheurísticas, Algoritmos Evolutivos y Bioinspirados), Córdoba (Spain), 254-261, 2004.

Bolita[0133] F. Herrera, E. Herrera-Viedma, L. Martinez, F. Mata, P.J. Sanchez, A Multi-Granular Linguistic Decision Model for Evaluating the Quality of Network Services. In: Intelligent Sensory Evaluation, Ruan Da (Eds.): Springer-Verlag, 2004, 71-92. iconPdf.png

Bolita[0131] F. Herrera, E. Herrera-Viedma, L. Martinez, C. Porcel, Information Gathering on the Internet Using a Distributed Intelligent Agent Model with Multi-Granular Linguistic Information. In Fuzzy Logic and The Internet, M. Nikravesh, L.A. Zadeh, V. Loia (Eds) Springer, 2004, 95-116. iconPdf.png

Bolita[0402] F. Herrera, C. García-Martínez, L. Martínez, P.J. Sánchez, B. Montes, A Java Based System for Evaluating Educational Skills. Proc. EUROFUSE 2004 - Workshop on Current Issues in Data and Knowledge Engineering, Warsa (Poland), B. de Baets, R. de Caluwe, G. de Tre, J. Fodor, J. Kacprzyk, S. Zadrozni (Eds.), 255-264, September 2004.

Bolita Year 2003 (39):

Bolita[0361] J.R. Cano, F. Herrera, M. Lozano, Using Evolutionary Algorithms as Instance Selection for Data Reduction in KDD: An Experimental Study. IEEE Trans. on Evolutionary Computation 7:6 (2003) 561-575, doi: 10.1109/TEVC.2003.819265. iconPdf.png

Bolita[0307] R. Alcalá, J. Alcalá-Fdez, J. Casillas, O. Cordón, F. Herrera, Genetic Learning of Accurate TS Models Based on Local Fuzzy Prototyping. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2003), Zittau (Germany), 105-108, September 10-12, 2003. iconPdf.png

Bolita[0306] R. Alcalá, O. Cordón, F. Herrera, Genetic Learning of Weights and Rule Selection For Improving the Fuzzy Control Performance of an HVAC System. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 94-95, September 15-17, 2003.

Bolita[0308] R. Alcalá, F. Herrera, O. Cordón, Genetic Fuzzy Systems: Short Introduction and Models for Fuzzy Control of HVAC Systems. Proceedings of the Fifth Conference on Evolutionary Methods for Design, Optimisation and Control with Applications to Industrial and Society Problems (EUROGEN 2003), Barcelona (Spain), 8-9, September 15-17, 2003.

Bolita[0014] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez, A Note on the Reciprocity in the Aggregation of Fuzzy Preference Relations Using OWA Operators. Fuzzy Sets and Systems 137:1 (2003) 71-83, doi: 10.1016/S0165-0114(02)00433-5. iconPdf.png

Bolita[0018] E. Pérez, F. Herrera, C. Hernández, Finding Multiple Solutions in Job Shop Scheduling by Niching Genetic Algorithm. Journal of Intelligent Manufacturing 14:3-4 (2003) 323-339, doi: 10.1023/A:1024649709582. iconPdf.png

Bolita[0298] F. Herrera, M. Lozano, A.M. Sánchez, A Taxonomy for the Crossover Operator for Real-Coded Genetic Algorithms: An Experimental Study. International Journal of Intelligent Systems 18 (2003) 309-338, doi: 10.1002/int.10091. iconPdf.png

Bolita[0328] R. Alcalá, O. Cordón, F. Herrera, Algoritmos Genéticos para el ajuste de Parámetros y Selección de Reglas en el Control Difuso de un Sistema de Climatización HVAC para Grandes Edificios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB'03), Gijón (Spain), 39-46, February 5-7, 2003. ISBN 84-607-65-26-1.

Bolita[0011] R. Alcalá, J.R. Cano, O. Cordón, F. Herrera, P. Villar, I. Zwir, Linguistic Modeling with Hierarchical Systems of Weighted Linguistic Rules. International Journal of Approximate Reasoning 32:2-3 (2003) 187-215, doi: 10.1016/S0888-613X(02)00083-X. iconPdf.png

Bolita[0010] F. Herrera, M. Lozano, Fuzzy Adaptive Genetic Algorithms: Design, Taxonomy and Future Directions. Soft Computing 7:8 (2003) 545-562, doi: 10.1007/s00500-002-0238-y. iconPdf.png

Bolita[0351] R. Alcalá, O. Cordón, F. Herrera, Combining Rule Weight Learning and Rule Selection to Obtain Simpler and More Accurate Linguistic Fuzzy Models. In J. Lawry, J. Shanahan, A. Ralescu (Eds.). Modelling with Words, LNCS 2873, Springer-Verlag, Germany, 2003, 44-63. ISBN 3-540-20487-3.

Bolita[0304] B. Carse, A.G. Pipe, I. Renners, A. Grauel, A.F. Gómez, F. Jimenez, G. Sánchez, O. Cordón, F. Herrera, F. Gomide, I. Walter, A. Gonzalez, Raul Perez, Current Issues and Future Directions in Evolutionary Fuzzy Systems Research. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology, Zittau, 81-87, September 2003.

Bolita[0004] F. Herrera, E. Herrera-Viedma, F. Chiclana, A Study of the Origin and Uses of the Ordered Weighted Geometric Operator in Multicriteria Decision Making. International Journal of Intelligent Systems 18:6 (2003) 689-707, doi: 10.1002/int.10106. iconPdf.png

Bolita[0426] J.J. Aguilera, M.J. del Jesus, P. González, F. Herrera, M. Navío, J. Sáinz, Extracción Evolutiva de Reglas de Asociación en un Servicio de Urgencias Psiquiátricas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 548-555, February 2003.

Bolita[0013] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Linguistic Modeling with Weighted Double-Consequent Fuzzy Rules Based on Cooperative Coevolutionary Learning. Integrated Computer Aided Engineering 10 (4) (2003) 343-355. iconPdf.png

Bolita[0128] J. Casillas, O. Cordón, F. Herrera, L. Magdalena, Accuracy improvements to find the balance interpretability-accuracy in linguistic fuzzy modeling: an overview. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing, Springer-Verlag, Heidelberg, Germany, 2003, 3-24. ISBN 3-540-02933-8.

Bolita[0130] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Applying Rule Weight Derivation to Obtain Cooperative Rules. In J.M. Benítez, O. Cordón, F. Hoffmann, R. Roy (Eds.). Advances in soft computing. Engineering, design and manufacturing, Springer, Heidelberg, Germany, 2003, 139-148. ISBN 1-85233-755-9.

Bolita[0015] O. Cordón, F. Herrera, I. Zwir, A Hierarchical Knowledge-Based Environment for Linguistic Modeling: Models and Iterative Methodology. Fuzzy Sets and Systems 138:2 (2003) 307-341. iconPdf.png

Bolita[0132] F. Herrera, E. Herrera-Viedma, L. Martinez, P.J. Sanchez, Combining Heterogeneous Information in Group Decision Making. Intelligent System for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R.R. Yager (Eds.), Elsevier, 2003, 81-92. iconPdf.png

Bolita[0129] J. Casillas, O. Cordón, F. Herrera, COR methodology: a simple way to obtain linguistic fuzzy models with good interpretability and accuracy. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Accuracy improvements in linguistic fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 27-45. ISBN 3-540-02933-8.

Bolita[0515] M. Lozano, F. Herrera, J. R. Cano., Replacement Strategies to Maintain Useful Diversity in Steady-State Genetic Algorithms.. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September, 2003.

Bolita[0300] F. Herrera, E. Herrera-Viedma, L. Martínez, P.J. Sánchez, A Methodology For Generating The Semantics of Unbalanced Linguistic Term Sets. Proc. of the 7th Joint Conference on Information Science, North Carolina (USA), 151-154, 2003.

Bolita[0303] S.E. Ventura, A.J. Cruz, C. Hervas, F. Herrera, Analisis de Operadores en Programación Genética Basada en Gramáticas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 445-451, February 2003.

Bolita[0299] F. Herrera, E. Herrera-Viedma, I. Martínez, P.J. Sánchez, A Linguistic Decision Process for Evaluating the Instalation of an Enterprise Resource Planning System. Proc. of the 7th Joint Conference on Information Science, 164-167, 2003.

Bolita[0127] R. Alcalá, J.M. Benítez, J. Casillas, J.L. Castro, O. Cordón, A. González, F. Herrera, R. Pérez, Multicriteria genetic tuning for the optimization and control of HVAC systems. In X. Yu, J. Kacprzyk (Eds.): Applied decision support with soft computing, Studies in Fuzziness and Soft Computing Vol. 124, Springer, Heidelberg, Germany, 2003, 308-345. ISBN 978-3-540-02491-0.

Bolita[0126] J. Casillas, O. Cordón, F. Herrera, L. Magdalena, Interpretability improvements to find the balance interpretability-accuracy in fuzzy modeling: an overview. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.). Interpretability issues in fuzzy modeling, Studies in Fuzziness and Soft Computing, Springer, Heidelberg, Germany, 2003, 3-22. ISBN 3-540-02932-X.

Bolita[0352] F. Chiclana, F. Herrera, E. Herrera-Viedma, Reciprocity and Consistency of Fuzzy Preference Relations. Principles of Fuzzy Preference Modelling and Decision Making, B. De Baets, J. Fodor (Eds.), Academia Press, 2003, 123-142. iconPdf.png

Bolita[0329] F. Herrera, E. Herrera-Viedma, F. Chiclana, Additive Consistency of Fuzzy Preference Relations: Characterization and Construction. Proceedings of the 4th International Workshop on Preferences and Decisions (TRENTO 2003), Trento, 39-46, September 2003. iconPdf.png

Bolita[0354] R. Alcalá, O. Cordón, F. Herrera, I. Zwir, An Iterative Learning Methodology to Design Hierarchical Systems of Linguistic Rules for Linguistic Modeling. In J. Casillas, O. Cordón, F. Herrera, L. Magdalena (Eds.): Accuracy Improvements in Linguistic Fuzzy Modeling, Studies in Fuzziness and Soft Computing Vol. 129, Springer Verlag, Germany, 2003, 277-301. ISBN 3-540-02933-8.

Bolita[0326] S. Alonso, O. Cordón, I. Fernández de Viana, F. Herrera, Análisis de Distintas Vertientes para la Paralelización de los Algoritmos de Optimización Basados en Colonias de Hormigas. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 160-167, February 2003. iconPdf.png

Bolita[0514] J. R. Cano, F. Herrera, M. Lozano, A Study on the Combination of Evolutionary Algorithms and Stratified Strategies for Training Set Selection in Data Mining. In Proceedings of the 8th Online World Conference on Soft Computing in Industrial Applications, September 2003..

Bolita[0322] F. Herrera, E. Herrera-Viedma, Linguistic Preference Modeling: Foundation Models and New Trends. Proceedings of the 4th International Workshop on Preferences and Decisions (TRENTO 2003), Trento, 47-52, September 2003. iconPdf.png

Bolita[0316] F. Chiclana, E. Herrera-Viedma, F. Herrera, Some Induced Ordered Weighting Averaging Operators to Solve Decision Problems Based on Fuzzy Preference Relations. Proceedings of AGOP'2003, Alcalá de Henares (Spain), 55-60, July 2003. iconPdf.png

Bolita[0315] F. Herrera, M. Lozano, A.M. Sánchez, Una Propuesta de Hibridación de Operadores de Cruce para Algoritmos Genéticos con Codificación Real. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 237-248, February 2003.

Bolita[0314] M. Lozano, F. Herrera, Estrategias de Reemplazo Para Fomentar Diversidad Útil en los Algoritmos Genéticos Estacionarios. Actas del II Congreso Español sobre Metaheurísticas, Algoritmos Evolutivos y Bioinspirados (MAEB03), Gijón (Spain), 200-208, February 2003.

Bolita[0312] F. Herrera, E. Herrera-Viedma, L. Martínez, P.J. Sánchez, Evaluating the Suitability of an Enterprise Resource Planning System. Proceedings of SIGEF 2003. Emergent Solutions for the Information and Knowledge Economy. León (Spain), Vol. 1 375-388, 2003. iconPdf.png

Bolita[0309] F. Herrera, F.A. Márquez, A. Peregrin, Genetic Adaptation of Rule Connectives and Conjunction Operators in Fuzzy Rule Based Systems: An Experimental Comparative Study. Proceedings of the Third Conference of the European Society for Fuzzy Logic and Technology, Zittau, 100-104, September 2003.

Bolita[0353] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar, A Multiobjetive Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Intelligent System for Information Processing: From Representation to Applications, B. Bouchon-Meunier, L. Foulloy, R.R. Yager (Eds.), Elsevier, 2003, 315-326.

Bolita[0355] O. Cordón, M.J. del Jesus, F. Herrera, L. Magdalena, P. Villar, A Multiobjective Genetic Learning Process for Joint Feature Selection and Granularity and Context Learning in Fuzzy Rule-Based Classification Systems. Interpretability Issues in Fuzzy Modeling. /J./ Casillas, O. Cordón, F. Herrera, L. Magdalena. (Springer Verlag, Studies in Fuzziness and Soft Computing Vol. 128), 2003, 79-99.

Bolita Year 2002 (40):

Bolita[0213] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Improving simple linguistic fuzzy models by means of the weighted COR methodology. Proceedings of the 8th Ibero-American Conference on Artificial Intelligence, In F.J. Garijo, J.C. Riquelme, M. Toro (Eds.): Advances in Artificial Intelligence - IBERAMIA 2002, LNCS 2527, Seville (Spain), 294-302, November 12-15, 2002. ISSN 0302-9743.

Bolita[0031] F. Chiclana, F. Herrera, E. Herrera-Viedma, A Note on the Internal Consistency of Various Preference Representations. Fuzzy Sets and Systems 131:1 (2002) 75-78, doi: 10.1016/S0165-0114(01)00256-1. iconPdf.png

Bolita[0026] F. Herrera, E. López, M.A. Rodríguez, A Linguistic Decision Model for Promotion Mix Management Solved with Genetic Algorithms. Fuzzy Sets and Systems 131:1 (2002) 47-61, doi: 10.1016/S0165-0114(01)00254-8 . iconPdf.png

Bolita[0212] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Improvements to the COR nethodology by means of weighted fuzzy rules. 7th Online World Conference on Soft Computing and its Applications (WSC7 2002), September 23 - October 4, 2002.

Bolita[0024] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, L. Martinez, M.A. Vila, A Communication Model Based on the 2-tuple Fuzzy Linguistic Representation for a Distributed Intelligent Agent System on Internet. Soft Computing 6:5 (2002) 320-328, doi: 10.1007/s00500-002-0185-7. iconPdf.png

Bolita[0023] J. Casillas, O. Cordón, F. Herrera, COR: A Methodology to Improve Ad Hoc Data-Driven Linguistic Rule Learning Methods by Inducing Cooperation Among Rules. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 32:4 (2002) 526-537, doi: 10.1109/TSMCB.2002.1018771. iconPdf.png

Bolita[0211] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Hybridization of components to improve the accuracy in linguistic fuzzy modeling. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002), Vol. 3, Annecy (France), 1969-1977, July 1-5, 2002.

Bolita[0178] J.R. Cano, O. Cordón, F. Herrera, L. Sánchez, A Greedy Randomized Adaptive Search Procedure Applied to the Clustering Problem as an Initialization Process Using K-Means as a Local Search Procedure. International Journal of Intelligent and Fuzzy Systems 12 (2002) 235-242. iconPdf.png

Bolita[0016] E. Herrera-Viedma, F. Herrera, F. Chiclana, A Consensus Model for Multiperson Decision Making with Different Preference Structures. IEEE Transactions on Systems, Man and Cybernetics. Part A: Systems and Man 32:3 (2002) 394-402, doi: 10.1109/TSMCA.2002.802821. iconPdf.png

Bolita[0210] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir, Hybridizing hierarchical and weighted linguistic rules. Proceedings of the 17th ACM Symposium on Applied Computing (SAC 2002), Madrid (Spain), 812-816, March 11-14, 2002.

Bolita[0025] O. Cordón, F. Herrera, I. Zwir, Linguistic Modeling by Hierarchical Systems of Linguistic Rules. IEEE Transactions on Fuzzy Systems 10:1 (2002) 2-20, doi: 10.1109/91.983275. iconPdf.png

Bolita[0417] J.J. Aguilera, MJ. del Jesús, R. González , F. Herrera, C. Iríbar, M. Navío, Un estudio sobre la aplicación de la selección de características y prototipos evolutivos al del diagnóstico de la Enfermedad del Parkinson. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 361-368, 2002.

Bolita[0135] F. Herrera, E. Herrera-Viedma, L. Martinez, Representation Models for Aggregating Linguistic Information: Issues and Analysis. Aggregation operators: New trends and applications. T. Calvo, G. Mayor, R. Mesiar (Eds.), (Physica-Verlag, 2002), 245-259. iconPdf.png

Bolita[0418] S. Ventura, F. Herrera, J.M. Berná, C. Hervás, Evolución guiada mediante aprendizaje. Comparación en problemas de optimización. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 430-336,2002.

Bolita[0136] F. Chiclana, F. Herrera, E. Herrera-Viedma, The Ordered Weighted Geometric Operator: Properties and Applications in MCDM Problems. Technologies for Constructing Intelligent Systems 2: Tools. B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), (Physica-Verlag, 2002), 173-183. iconPdf.png

Bolita[0137] J. Casillas, O. Cordón, F. Herrera, Different Approaches to Induce Cooperation in Fuzzy Linguistic Models Under the COR Methodology. B. Bouchon-Meunier, J. Gutierrez-Rios, L. Magdalena, R.R. Yager (Eds.), Technologies for Constructing Intelligent Systems 1: Tasks (Physica-Verlag, 2002), 321-334. iconPdf.png

Bolita[0411] O. Cordón, F. Herrera, M.J. del Jesús, L. Magdalena, A.M. Sánchez, P. Villar, A Multiobjective Genetic Algorithm for Feature Selection and Data Base Learning in Fuzzy-Rule Based Classification Systems. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 823-830, September 2002.

Bolita[0413] R. Alcalá, O. Cordón, F. Herrera, I. Zwir, Insurance Market Risk Modeling with Hierarchical Fuzzy Rule Based Systems. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS 2002), Vol. 1, Ciudad Real (Spain), 325-333, April 3-6, 2002.

Bolita[0134] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Techniques for designing and refining linguistic fuzzy models to improve their accuracy. In C.T. Leondes (Ed.): Intelligent Systems: Techniques and Applications, Volume II: Fuzzy Systems, Neural Networks and Expert Systems, CRC Press, Boca Raton, EE.UU., 2002, 143-180. ISBN 0-8493-1121-7.

Bolita[0414] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez, Una Propuesta de Generación de Múltiples Descendientes y de Selección de los 2 Mejores para Algoritmos Genéticos con Codificación Real con el Operador de Cruce BLX-α. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 15-22, 2002.

Bolita[0201] F. Herrera, E. Herrera-Viedma, L. Martínez, An Information Retrieval System with Unbalanced Linguistic Information Based on the Linguistic 2-tuple Model. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 23-30, 2002. iconPdf.png

Bolita[0202] F. Herrera, L. Martínez, P.J. Sánchez, E. Herrera-Viedma, Managing Heterogeneous Information in Group Decision Making. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 439-446, 2002. iconPdf.png

Bolita[0203] F. Herrera, L. Martínez, E. Herrera-Viedma, F. Chiclana, Fusion of Multigranular Linguistic Information Based on the 2-tuple Fuzzy Linguistic Representation Model. Proceedings of the 9th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU 2002). Annecy (France), 1155-1162, 2002. iconPdf.png

Bolita[0207] E. Herrera-Viedma, F. Herrera, O. Cordón, M. Luque, A.G. López-Herrera, An Information Retrieval System with Weighed Querying Based on Multi-Granular Linguistic Information. Seventh Meeting of the EURO Working Group on Fuzzy Sets. Workshop on Information Systems. Proc. of EUROFUSE 2002, Varenna (Italy), 127-133, September 2002. iconPdf.png

Bolita[0209] J. Casillas, O. Cordón, F. Herrera, J.J. Merelo, Cooperative coevolution for learning fuzzy rule-based systems. Proc. of the 5th International Conference on Artificial Evolution (EA'01), Le Creusot, France (2001) 97-108. Also in P. Collet, C. Fonlupt, J.-K. Hao, E. Lutton, M. Schoenauer (Eds.), Artificial Evolution, Lecture Notes on C. S., LNCS 2310 311, 2002.

Bolita[0415] O. Cordón, F. Herrera, J. de la Montaña, A.M. Sánchez, P. Villar, Aprendizaje evolutivo de un sistema basado en reglas difusas para la predicción de enfermedades cardiovasculares. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 183-190, 2002.

Bolita[0416] O. Cordón, I. Fernández de Viana, F. Herrera, Análisis de las tres componentes que distinguen al sistema de la mejor peor hormiga. Actas del Primer Congreso Español de Algoritmos Evolutivos y Bioinspirados, Merida (Spain), 260-266, 2002.

Bolita[0214] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Mejoras a la metodología COR mediante el uso de reglas difusas ponderadas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy (ESTYLF 2002), León (Spain), 541-546, September 17-20, 2002.

Bolita[0412] F. Herrera, L. Martínez, Group Decisión Making Based on the Linguistic 2-Tuple Model in Heterogeneous Contexts. Proc. of the Fourth Int. Conference on Enterprise Information Systems (ICEIS'02), Vol. 1, Ciudad Real (Spain), 358-365, April 2002.

Bolita[0404] J.J. Aguilera, M.J. del Jesús, P. González, F. Herrera, M. Navío, J. Sáiz, Modelos Evolutivos de Extracción de Conocimiento en Aplicaciones Médicas: Enfermedad de Parkinson y Urgencia Psiquiátricas. F. Herrera, J.C. Riquelme, J. Aguilar (Eds.). Actas del Workshop de Minería de Datos y Aprendizaje, Sevilla (Spain), 193-208, November 2002.

Bolita[0027] O. Cordón, F. Herrera, T. Stützle, A Review of the Ant Colony Optimization Metaheuristic: Basis, Models and New Trends. Mathware and Soft Computing 9:2-3 (2002) 141-175. iconPdf.png

Bolita[0410] O. Cordón, F. Herrera, F.A. Márquez, A. Peregrín, Estudio de los Métodos de Defuzzificación Adaptativos Evolutivos en Sistemas Basados en Reglas Difusas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 429-435, September 2002.

Bolita[0408] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez, OWG Operators that Maintain Reciprocity property in the Aggregation of Multiplicative Preference Relations. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 165-169, September 2002.

Bolita[0405] J.R. Cano, O. Cordón, F. Herrera, L. Sánchez, A GRASP Algorithm for Clustering. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 214-223, November 2002.

Bolita[0409] O. Cordón, F. Herrera, M.J. del Jesus, L. Magdalena, A.M. Sánchez, P. Villar, Utilización de Algoritmos Genéticos Multiobjetivo para Selección de Características y Diseño de la Base de Conocimiento de un Sistema de Clasificación Basado en Reglas Difusas. Actas XI Congreso Español Sobre Tecnologías y Lógica Fuzzy, León (Spain), 411-416, September 2002.

Bolita[0407] F. Herrera, M. Lozano, E. Pérez, A.M. Sánchez, P. Villar, Múltiple Crossover per Couple with Selection of the Two Best Offspring: An Experimental Study with BLX-α Crossover Operator for Real-Coded Genetic Algorithms. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 392-401, November 2002. iconPdf.png

Bolita[0406] O. Cordón, F. Herrera, J. De la Montaña, A.M. Sánchez, P. Villar, A Prediction System of Cardiovascularity Diseases Using Genetic Fuzzy Rule-Based Systems. F.J. Garijo, J.C. Riquelme, M. Toro (Eds.), Advances in Artificial Intelligence IBERAMIA 2002, Proc. 8^th Ibero-American Conference on AI, Sevilla (Spain), LNCS 2527, Springer Verlag, 381-391, November 2002.

Bolita[0403] J.R. Cano, F. Herrera, M. Lozano, Selección Evolutiva de Instancias en Minería de Datos: Un Estudio Experimental. F. Herrera, J.C. Riquelme, J. Aguilar (Eds.). Actas del Workshop de Minería de Datos y Aprendizaje, Sevilla (Spain), 137-152, November 2002.

Bolita[0360] O. Cordón, I. Fernández de Viana, F. Herrera, Analysis of the Best-Worst Ant System and Its Variants on the QAP. Third International Workshop, ANTS2002, Brussel (Belgium), Springer Verlag, LNCS 2463, 228-234, September 2002. iconPdf.png

Bolita[0012] O. Cordón, I. Fernández de Viana, F. Herrera, Analysis of the Best-Worst Ant System and its Variants on the TSP. Mathware and Soft Computing 9:2-3 (2002) 177-192. iconPdf.png

Bolita Year 2001 (26):

Bolita[0220] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Linguistic modeling with weighted double-consequent fuzzy rules based on cooperative coevolution. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (United Kingdom), 237-240, September 5-7, 2001.

Bolita[0043] O. Cordón, F. Herrera, Hybridizing Genetic Algorithms with Sharing Scheme and Evolution Strategies for Designing Approximate Fuzzy Rule-Based Systems. Fuzzy Sets and Systems 118:2 (2001) 235-255. iconPdf.png

Bolita[0036] O. Cordón, F. Herrera, L. Magdalena, P. Villar, A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Information Science 136 (2001) 85-107. iconPdf.png

Bolita[0035] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Improvement to the Cooperative Rules Methodology by Using the Ant Colony System Algorithm. Mathware and Soft Computing Vol 8:3 (2001) 321-335. iconPdf.png

Bolita[0039] O. Cordón, F. Herrera, I. Zwir, Fuzzy Modeling by Hierarchically Built Fuzzy Rule Bases. International Journal of Approximate Reasoning 27 (2001) 61-93. iconPdf.png

Bolita[0217] F. Chiclana, F. Herrera, E. Herrera-Viedma, L. Martínez, Preserving Reciprocity in the Aggregation of Fuzzy Preference Relations Using OWA Operators. EUROFUSE Workshop on Preference Modelling and Applications, Granada (España), 105-110, 2001. iconPdf.png

Bolita[0040] F. Chiclana, F. Herrera, E. Herrera-Viedma, Integrating Multiplicative Preference Relations in a Multipurpose Decision Making Model Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 122 (2001), 277-291. iconPdf.png

Bolita[0041] F. Herrera, L. Martínez, A model based on linguistic 2-tuples for dealing with multigranularity hierarchical linguistic contexts in Multiexpert Decision-Making. IEEE Transactions on Systems, Man, and Cybernetics. Part B: Cybernetics 31:2 (2001) 227-234. iconPdf.png

Bolita[0216] F. Herrera, E. Herrera-Viedma, L. Martínez, A Hierarchical Ordinal Model for Managing Unbalanced Linguistic Term Sets Based on the Linguistic 2-Tuple Model. EUROFUSE Workshop on Preference Modelling and Applications, Granada (España), 201-206, 2001. iconPdf.png

Bolita[0218] J. Casillas, O. Cordón, M.J. Del Jesus, F. Herrera, Genetic tuning of fuzzy rule-based systems integrating linguistic hedges. Proceedings of the 9th IFSA World Congress and 20th NAFIPS International Conference, Vancouver (Canada), 1570-1574, 2001.

Bolita[0219] J. Casillas, O. Cordón, F. Herrera, A cooperative coevolutionary algorithm for jointly learning fuzzy rule bases and membership functions. Proceedings of the International Conference in Fuzzy Logic and Technology (EUSFLAT 2001), Leicester (UK), 118-121, 2001.

Bolita[0033] F. Herrera, M. Lozano, Adaptative Genetic Operators Based on Coevolution with Fuzzy Behaviors. IEEE Transactions on Evolutionary Computation 5:2 (2001) 149-165. iconPdf.png

Bolita[0032] J. Casillas, O. Cordón, F. Herrera, M.J. Del Jesus, Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process for High-Dimensional Problems. Information Sciences 136:1-4 (2001) 135-157. iconPdf.png

Bolita[0138] M. Navío, J. Aguilera, M.J. del Jesus, R. Gonzalez, F. Herrera, M.C. Iribar, Feature Selection Algorithms Applied to Parkinson's Disease. Medical Data Analysis, LNCS 2199, 2001, 195-200.

Bolita[0423] O. Cordón, F. Herrera, I. Zwir, Analyzing and Extending Hierarchical Systems of Linguistic Rules. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1121-1126, July 2001.

Bolita[0422] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar, A Multiobjective Genetic Algorithm for Feature Selection and Granularity Learning in Fuzzy Rule-Based Classification Systems. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1253-1258, July 2001.

Bolita[0215] F. Herrera, E. Herrera-Viedma, L. Martínez, The use of linguistic information in operational research. 9th IFSA World Congress and 20th NAFIPS International Conference. Vancouver (Canada), 857-862, 2001.

Bolita[0421] O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena, Ten Years of Genetic Fuzzy Systems: Current Framework and New Trends. Joint Nineth IFSA-NAFIPS International Conference. Vancouver (Canada), 1241-1246, July 2001.

Bolita[0420] M. Navío, J.J. Aguilera, M.J. del Jesus, R. González, F. Herrera, C. Iríbar, Feature Selection Algorithms Applied to Parkinson's Disease. Medical Data Analysis (ISMDA'2001, Second International Symposium), Madrid (Spain), Lecture Notes in Computer Science 2199 195-200, October, 2001.

Bolita[0044] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez, A Linguistic Decision Model for Personnel Management Solved with a Linguistic Biobjetictive Genetic Algorithm. Fuzzy Sets and Systems 118:1 (2001) 47-64. iconPdf.png

Bolita[0017] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, Building Fuzzy Graphs: Features and Taxonomy of Learning Non-Grid-Oriented Fuzzy Rule-Based Systems. International Journal of Intelligent Fuzzy Systems, 11 (2001) 99-119. iconPdf.png

Bolita[0019] R. Alcalá, J. Casillas, J.L. Castro, A. Gonzalez, F. Herrera, A Multicriteria Genetic Tuning for Fuzzy Logic Controllers. Mathware and Soft Computing, Vol. 8:2 (2001) 179-201. iconPdf.png

Bolita[0020] F. Herrera, L. Martínez, The 2-tuple Linguistic Computational Model. Advantages of its linguistic description, accuracy and consistency. International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 9:suppl. (Sept. 2001) 33-48. iconPdf.png

Bolita[0021] O. Cordón, F. Herrera, P. Villar, Generating the Knowledge Base of a Fuzzy Rule-Based System by the Genetic Learning of Data Base. IEEE Transactions on Fuzzy Systems 9:4 (2001) 667-674. iconPdf.png

Bolita[0140] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, M.A. Vila, Combining Linguistic Information in a Distributed Intelligent Agent Model for Information Gathering on the Internet. In: Computing with Words, P.P. Wang, Ed., (John Wiley & Son, Wiley Series on Intelligent Systems) 2001, 251-276.

Bolita[0042] F. Chiclana, F. Herrera, E. Herrera-Viedma, Multiperson Decision Making Based on Multiplicative Preference Relations. European Journal of Operational Research 129 (2001) 372-385. iconPdf.png

Bolita Year 2000 (30):

Bolita[0223] J. Casillas, O. Cordón, F. Herrera, Learning Fuzzy Rule-Based Systems Using Ant Colony Optimization Algorithms. Proc. of ANTS'2000. From Ant Colonies to Artificial Ants: Second Interantional Workshop on Ant Algorithms, Brussels (Belgium), September 7-9, 13-21, 2000. iconPdf.png

Bolita[0228] J. Casillas, O. Cordón, F. Herrera, Generacion de Reglas Difusas con Buen Nivel de Cooperacion Mediante ALgoritmos de Hormigas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 291-296, Septiembre 2000.

Bolita[0227] O. Cordón, F. Herrera, P. Villar, Aprendizaje Evolutivo de la Granularidad e las particiones Difusas y las Funciones de Pertenencia de un Sistema Basado en Reglas Difusas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 417-422, Septiembre 2000.

Bolita[0226] F. Herrera, L. Martinez, P.J. Sanchez, Manejo de Contextos Lingüísticos Multigranulares Jerarquicos para el Modelado Lingüístico de Preferencias Basado en 2-tuplas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 223-227, Septiembre 2000.

Bolita[0225] M.J. del Jesus, F. Herrera, Influencia del Uso de Modificadores Lingüísticos y Grados de Certeza en un Sistema de Clasificacion Basado en Reglas Difusas. X Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF'2000). Sevilla (Spain), 303-308, Septiembre 2000.

Bolita[0221] F. Herrera, M. Lozano, Adaptive Control of the Mutation Probability by Fuzzy Logic Controllers. Proc. 6th International Conference on Parallel Problem Solving from Nature - PPSN VI, Paris (France). M. Schoenauer, K. Deb, G. Rudolph, X. Yao, E. Lutton, J.J. Merelo, H-P. Schwefel (Eds.), Lecure Notes in Computer Science 1917, 335-344, September 2000.

Bolita[0048] F. Herrera, M. Lozano, Two-Loop Real-Coded Genetic Algorithms with Adaptive Control of Mutation Step Sizes. Applied Intelligence 13:3 (2000) 187-204. iconPdf.png

Bolita[0046] F. Herrera, L. Martínez, A 2-tuple Fuzzy Linguistic Representation Model for Computing with Words. IEEE Transactions on Fuzzy Systems 8:6 (2000) 746-752. iconPdf.png

Bolita[0050] O. Cordón, F. Herrera, A Proposal for Improving the Accuracy of Linguistic Modeling. IEEE Transactions on Fuzzy Systems 8:3 (2000) 335-344. iconPdf.png

Bolita[0051] F. Herrera, M. Lozano, Gradual Distributed Real-Coded Genetic Algorithms. IEEE Transactions on Evolutionary Computation 4:1 (2000) 43-63. iconPdf.png

Bolita[0052] F. Herrera, E. Herrera-Viedma, Choice Functions and Mechanisms for Linguistic Preference Relations. European Journal of Operational Research 120 (2000) 144-161. iconPdf.png

Bolita[0053] F. Herrera, E. Herrera-Viedma, L. Martinez, A Fusion Approach for Managing Multi-Granularity Linguistic Term Sets in Decision Making. Fuzzy Sets and Systems 114 (2000) 43-58. iconPdf.png

Bolita[0049] O. Cordón, F. Herrera, P. Villar, Analysis and Guidelines to Obtain a Good Fuzzy Partition Granularity for Fuzzy Rule-Based Systems using Simulated Annealing. International Journal of Approximate Reasoning 25:3 (2000) 187-215. iconPdf.png

Bolita[0054] O. Cordón, F. Herrera, A. Peregrín, Searching for Basic Properties Obtaining Robust Implication Operators in Fuzzy Control. Fuzzy Sets and Systems 111:2 (2000) 237-251. iconPdf.png

Bolita[0055] F. Herrera, E. Herrera-Viedma, Linguistic Decision Analysis: Steps for Solving Decision Problems under Linguistic Information. Fuzzy Sets and Systems 115 (2000) 67-82. iconPdf.png

Bolita[0237] J. Casillas, O. Cordón, F. Herrera, Generación de reglas difusas con buen nivel de cooperación mediante algoritmos de hormigas. Proceedings of the X Congreso Español sobre Tecnología y Lógica Fuzzy (ESTYLF 2000), Sevilla (Spain), 291-296, 2000.

Bolita[0142] R. Alcalá, J. Casillas, O. Cordón, F. Herrera, I. Zwir, Techniques for Learning and Tuning Fuzzy Rule-Based Systems for Linguistic Modeling and Their Application. In: KNOWLEDGE-BASED SYSTEMS. Techniques and Applications Vol III. C.T. Leondes (Ed.), Academic Press, EE.UU., 2000, 889-941. ISBN 0-12-443878-4.

Bolita[0143] O. Cordón, M.J. del Jesus, F. Herrera, P. Villar, I. Zwir, Different Proposals to Improve the Accuracy of Fuzzy Linguistic Modeling. In: Fuzzy If-Then Rules in Computational Intelligence: Theory and Applications, E. Kerre, D. Ruan (Eds.), Kluwer Academic Pub., 2000, 189-221. iconPdf.png iconPdf.png

Bolita[0236] O. Cordón, F. Herrera, I. Zwir, Hierarchical Knowledge Bases for Fuzzy Rule-Based Systems. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1770-1777, 2000. iconPdf.png

Bolita[0222] O. Cordón, I. Fernández de Viana, F. Herrera, Ll. Moreno, A New ACO Model Integrating Evolutionary Computation Concepts: The Best-Worst Ant System. Proc. of ANTS'2000. From Ant Colonies to Artificial Ants: Second Interantional Workshop on Ant Algorithms, Brussels (Belgium), 22-29, September 7-9, 2000. iconPdf.png

Bolita[0224] F. Herrera, E. López, L. Martínez, The use of linguistic preference modelling based on 2-tuples and heuristics searches for improving enterprise processes. Proceedings of of MS'2000. Interantional Conference on Modelling and Simulation, Las Palmas de Gran Canaria (Spain), R. Berriel, V. Hernandez, R. Montenegro, J. Rocha (Eds.), 657-664, September 2000.

Bolita[0047] F. Herrera, L. Martínez, An Approach for Combining Numerical and Linguistic Information based on the 2-tuple fuzzy linguistic representation model in Decision Making. International Journal of Uncertainty , Fuzziness and Knowledge -Based Systems 8:5 (2000) 539-562. iconPdf.png

Bolita[0229] F. Chiclana, F. Herrera, E. Herrera-Viedma, The Ordered Weighted Geometric Operator: Properties and Application. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. II, 985-991, 2000.

Bolita[0230] E. Herrera-Viedma, F. Herrera, F. Chiclana, A Feedback Process to Model the Consensus in Multiperson Decision Making with Different Preference Representations. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 626-632, 2000.

Bolita[0231] O. Cordón, M.J. del Jesus, F. Herrera, Genetic Feature Selection in a Fuzzy Rule-Based Classification System Learning Process. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 88-95, 2000. iconPdf.png

Bolita[0232] O. Cordón, F. Herrera, L. Magdalena, P. Villar, A Genetic Learning Process for the Scaling Factors, Granularity and Contexts of the Fuzzy Rule-Based System Data Base. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 430-437, 2000. iconPdf.png

Bolita[0233] F. Herrera, L. Martinez, P.J. Sanchez, Integration of Heterogeneous Information in Decision-Making Problems. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. I, 633-640, 2000.

Bolita[0234] F. Herrera, L. Martinez, Computing with Words using the 2-tuple Linguistic Representation Model: Analysis of Consistency and Description. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. II, 765-772, 2000.

Bolita[0235] J. Casillas, O. Cordón, F. Herrera, Improving the Wang and Mendel's Fuzzy Rule Learning Method by Inducing Cooperation Among Rules. Eighth International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'2000. Madrid (Spain), Vol. III, 1682-1688, 2000. iconPdf.png

Bolita[0141] F. Herrera, M. Lozano, Adaptative Control of the Mutation Probability by Fuzzy logic Controllers. Parallel Problem Solving from Nature, LNCS 1917, 2000, 335-344.

Bolita Year 1999 (19):

Bolita[0056] O. Cordón, F. Herrera, A Two-Stage Evolutionary Process for Designing TSK Fuzzy Rule-Based Systems. IEEE Transactions on Systems, Man,and Cybernetics. Part B: Cybernetics Vol. 29:6 (December 1999) 703-715. iconPdf.png

Bolita[0239] O. Cordón, F. Herrera, Ll. Moreno, Integracion de Conceptos de Computacion Evolutiva en un Nuevo Modelo de Colonias de Hormigas. VIII Conferencia de la Asociacion Española para la Inteligencia Artificial, (Seminario Especializado en Computacion Evolutiva), Murcia (Spain), Vol. II, 98-105, Noviembre 1999.

Bolita[0238] J.J. Aguilera, M.J. del Jesus, F. Herrera, Hibridacion de Metodos Filtro y de Envoltura para Seleccion de Caracteristicas. VIII COnferencia de la Asociacion Española para la Inteligencia Artificial, Murcia (Spain), Vol. I, 58-63, Noviembre 1999.

Bolita[0147] O. Cordón, A. González, F. Herrera, R. Pérez, Encouraging Cooperation in the Genetic Iterative Rule Learning Approach for Qualitative Modeling. Computing with Words in Intelligent/Information Systems 2. Applications, J. Kacprzyk, L. Zadeh (Eds.), Physica-Verlag, 1999. iconPdf.png

Bolita[0243] F. Herrera, L. Martínez, A Selection Method based on the 2-tuple Linguistic Representation Model for Decision-Making with Multi-Granularity Linguistic Information. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 453-456, September 1999.

Bolita[0242] O. Cordón, F. Herrera, A. Peregrin, Characterisation of Implication Operators in Fuzzy Rule Based Systems from Basic Properties. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 163-166, September 1999.

Bolita[0241] O. Cordón, F. Herrera, P. Villar, Influence of Fuzzy Partition Granularity on Fuzzy Rule-Based System Behaviour. Proc. EUSFLAT-ESTLYF Joint Conference 99, Palma de Mallorca (Spain), 159-162, September 1999.

Bolita[0240] O. Cordón, F. Herrera, ALM: A Methodology for Designing Accurate Linguistic Models for Intelligent Data Analysis. Third Intelligent Data Analysis Conference (IDA). Amsterdam (Holland). D.J. Hand, J.N. Kok. M.R. Berthold (Eds.), LNCS no. 1642, Springer-Verlag, 15-26, August 1999. iconPdf.png

Bolita[0244] F. Herrera, L. Martinez, A 2-tuple Fuzzy Linguistic Representation Model Based on a Symbolic Translation. Joint EUROFUSE-SIC '99 International Conference. Fourth Meeting Of The EURO Working Group on Fuzzy Sets And Second International Conference on Soft And Intelligent Computing, Budapest (Hungary), 25-28, May 1999.

Bolita[0245] M. Delgado, F. Herrera, E. Herrera-Viedma, M.J. Martin-Bautista, M.A. Vila, A Linguistic Information Process in a Distributed Intelligent Agent Model for Information Gathering on the Internet. Joint EUROFUSE-SIC '99 International Conference. Fourth Meeting Of The EURO Working Group on Fuzzy Sets And Second International Conference on Soft And Intelligent Computing, Budapest (Hungary), 172-177, May 1999.

Bolita[0144] O. Cordón, M.J. del Jesus, F. Herrera, Evolutionary Approaches to the Learning of Fuzzy Rule-Based Classification Systems. In: Evolution of Enginnering and Information Systems and Their Applications. L.C. Jain (Ed.), CRC Press, 1999, 107-160. iconPdf.png

Bolita[0145] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez, A Linguistic Decision Model to Suppliers Selection in International Purchasing. In: Computing with Words in Information/Intelligent Systems 2. Applications, J. Kacprzyk, L. Zadeh Eds., (Physica-Verlag, 1999), 500-524.

Bolita[0057] O. Cordón, F. Herrera, A. Peregrín, A Practical Study on the Implementation of Fuzzy Logic Controllers. The International Journal of Intelligent Control and Systems 3 (1999) 49-91. iconPdf.png

Bolita[0146] M. Delgado, F. Herrera, E. Herrera-Viedma, J.L. Verdegay, M.A. Vila, Aggregation of Linguistic Information Based on a Symbolic Approach. In: Computing with Words in Information/Intelligent Systems I. Foundations, L.A. Zadeh and J. Kacpryzk, Eds., (Physica-Verlag, 1999), 428-440.

Bolita[0058] F. Herrera, M. Lozano, C. Moraga, Hierarchical Distributed Genetic Algorithms. International Journal of Intelligent Systems 14:11 (1999) 1099-1121. iconPdf.png

Bolita[0062] O. Cordón, F. Herrera, L. Sánchez, Solving Electrical Distribution Problems Using Hybrid Evolutionary Data Analysis Techniques. Applied Intelligence 10 (1999) 5-24. iconPdf.png

Bolita[0061] O. Cordón, M.J. del Jesus, F. Herrera, A Proposal on Reasoning Methods in Fuzzy Rule-Based Classification Systems. International Journal of Approximate Reasoning Vol. 20 (1999), 21-45. iconPdf.png

Bolita[0059] O. Cordón, M. J. del Jesus, F. Herrera, M. Lozano, MOGUL: A Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach. International Journal of Intelligent Systems Vol. 14:11 (1999) 1123-1153. iconPdf.png

Bolita[0060] F. Herrera, E. López, C. Mendaña, M.A. Rodríguez, Solving an Assignment-Selection Problem Under Linguistic Valuations with Genetic Algorithms. European Journal of Operational Research 119:2 (1999) 326-337. iconPdf.png

Bolita Year 1998 (15):

Bolita[0247] F. Herrera, M. Lozano, C. Moraga, Hybrid Distributed-Real Coded Genetic Algorithms. 5th Int. Conf. Parallel Problem SOlving from Nature - PPSN V, Amsterdam (The Netherlands). A.E. Eiben, T. Back, M. Schoenauer, H-P. Schwefel (Eds.), LNCS 1498, Springer-Verlag, 603-612, September 1998.

Bolita[0249] O. Cordón, F. Herrera, Una Propuesta para Mejorar la Precisión del Modelado Linguístico. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 199-204, 1998.

Bolita[0248] O. Cordón, M.J. del Jesus, F. Herrera, Métodos de Razonamiento Aproximado Basados en el Concepto de Mayoría Difusa para Sistemas de Clasificación. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 399-404, 1998.

Bolita[0250] F. Herrera, E. Herrera-Viedma, L. Martínez, Un Modelo de Seleccion para Problemas de Decision con Multiples Expertos e Informacion Lingüística Multi-Granular. VIII Congreso Español sobre Tecnologías y Lógica Fuzzy. Pamplona (Spain), 333-338, 1998.

Bolita[0251] F. Herrera, E. Herrera-Viedma, Choice Functions for Linguistic Preference Relations. 6th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'98. Paris (Francia), 152-157, 1998.

Bolita[0063] O. Cordón, M.J. del Jesus, F. Herrera, Analyzing the Reasoning Mechanisms in Fuzzy Rule-Based Classification Systems. Mathware and Soft Computing. Vol. 5: 2-3 (1998), 321-332. iconPdf.png

Bolita[0064] O. Cordón, M.J. del Jesus, F. Herrera, Genetic Learning of Fuzzy Rule-Based Classification Systems Cooperating with Fuzzy Reasoning Methods. International Journal of Intelligent Systems 13:10-11 (1998) 1025-1053. iconPdf.png

Bolita[0444] O. Cordón, A. Espín, W. Fajardo, F. Herrera, L. Sánchez, Estimación de la Longitud de Línea de Baja Tensión Mediante Técnicas Evolutivas de Análisis de Datos. Octava Reunión Nacional de Grupos de Investigación en Ingeniería Eléctrica. Cádiz (Spain), 1998.

Bolita[0252] O. Cordón, F. Herrera, L. Sánchez, Computing the Spanish Medium Electrical Line Maintenance Costs by means of Evolution-Based Learning Processes. Eleventh International Conference on Industrial & Engineering Applications of Artificial Intelligence & Expert Systems (IEA-98-AIE). Castellón (Spain), LNAI, no. 1415, Springer-Verlag, 478-486, 1998.

Bolita[0070] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Choice Processes for Non-Homogeneous Group Decision Making in Linguistic Setting. Fuzzy Sets and Systems. Vol. 94 (1998) 287-308. iconPdf.png

Bolita[0069] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano, Modelado Cualitativo Utilizando una Metodología Evolutiva de Aprendizaje Iterativo de Bases de Reglas Difusas. Revista Iberoamericana de la Asociación Española para la Inteligencia Artificial. Num. 5 (1998), 56-61. iconPdf.png

Bolita[0068] F. Chiclana, F. Herrera, E. Herrera-Viedma, Integrating Three Representation Models in Fuzzy Multipurpose Decision Making Based on Fuzzy Preference Relations. Fuzzy Sets and Systems 97 (1998) 33-48. iconPdf.png

Bolita[0067] F. Herrera, M. Lozano, J.L. Verdegay, Tackling Real-Coded Genetic Algorithms: Operators and tools for the Behaviour Analysis. Artificial Intelligence Review 12 (1998) 265-319. iconPdf.png

Bolita[0065] F. Herrera, M. Lozano, J.L. Verdegay, A Learning Process for Fuzzy Control Rules using Genetic Algorithms. Fuzzy Sets and Systems 100 (1998) 143-158. iconPdf.png

Bolita[0066] M. Delgado, F. Herrera, E. Herrera-Viedma, L. Martinez, Combining Numerical and Linguistic Information in Group Decision Making. Information Sciences 107 (1998) 177-194. iconPdf.png

Bolita Year 1997 (22):

Bolita[0075] F. Herrera, M. Lozano, J.L. Verdegay, Fuzzy Connectives Based Crossover Operators to Model Genetic Algorithms Population Diversity. Fuzzy Sets and Systems. Vol. 92-1 (1997) 21-30. iconPdf.png

Bolita[0076] F. Herrera, L. Magdalena, Genetic Fuzzy Systems. Tatra Mountains Mathematical Publications Vol. 13, 1997, 93-121. R. Mesiar,B. Riecan(Eds.) Fuzzy Structures. Current Trends. L. N. Tutorial: Genetic Fuzzy Systems.7th IFSA World Congress,Prage,June 97.

Bolita[0077] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Linguistic Measures Based on Fuzzy Coincidence for Reaching Consensus in Group Decision Making. International Journal of Approximate Reasoning 16 (1997), 309-334. iconPdf.png

Bolita[0078] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, A Rational Consensus Model in Group Decision Making using Linguistic Assessments. Fuzzy Sets and Systems Vol. 88:1 (1997), 31-49. iconPdf.png

Bolita[0079] O. Cordón, F. Herrera, A. Peregrín, Applicability of the Fuzzy Operators in the Design of Fuzzy Logic Controllers. Fuzzy Sets and Systems Vol. 86:1 (1997), 15-41. iconPdf.png

Bolita[0073] A. Gonzalez, F. Herrera, Multi-Stage Genetic Fuzzy Systems Based on the Iterative Rule Learning Approach. Mathware and Soft Computing 4:3 (1997) 233-249. iconPdf.png

Bolita[0071] F. Herrera, E. Herrera-Viedma, Aggregation Operators for Linguistic Weighted Information. IEEE Transactions on Systems, Man and Cybernetics. 27 (1997) 646-656. iconPdf.png

Bolita[0072] O. Cordón, F. Herrera, A Three-Stage Evolutionary Process for Learning Descriptive and Approximative Fuzzy Logic Controller Knowledge Bases from Examples. International Journal of Approximate Reasoning 17:4 (1997) 369-407. iconPdf.png

Bolita[0253] O. Cordón, F. Herrera, A. Peregrín, A Study on the Use of Implication Operators Extending the Boolean Conjunction in Fuzzy Control. Seventh International Fuzzy Systems Association World Congress (IFSA). Praga (Czech), Vol. III, 243-248, 1997.

Bolita[0254] O. Cordón, M.J. del Jesus, F. Herrera, E. López, Selecting Fuzzy Rule-Based Classification Systems With Specific Reasoning Methods Using Genetic Algorithms. Seventh International Fuzzy Systems Association World Congress (IFSA). Praga (Czech), Vol. II, 424-429, 1997.

Bolita[0153] O. Cordón, F. Herrera, M. Lozano, On the Combination of Fuzzy Logic and Evolutionary Computation: A Short Review and Bibliography. Fuzzy Evolutionary Computation, W. Pedrycz (Ed.), Kluwer Academic, 1997, 57-77. iconPdf.png

Bolita[0152] O. Cordón, F. Herrera, Identification of Linguistic Fuzzy Models by Means of Genetic Algorithms. Fuzzy Model Identification. Selected Approaches, D. Driankov, H. Hellendoorn (Eds.), Springer Verlag, 1997, 215-250. iconPdf.png

Bolita[0151] O. Cordón, F. Herrera, M. Lozano, A Classified Review on the Combination Fuzzy Logic-Genetic Algorithms Bibliography: 1989-1995. Genetic Algorithms and Fuzzy Logic Systems. Soft Computing Perspectives, E. Sanchez, T. Shibata, L. A. Zadeh (Eds.), World Scientific, 1997, 209-240. iconPdf.png

Bolita[0150] F. Herrera, E. Herrera-Viedma, On the Linguistic OWA Operator and Extensions. In: The Ordered Weighted Averaging Operators: Theory, Methodology and Applications, R.R. Yager and J. Kacprzyk (Eds.), Kluwer Academic, 1997, 60-72.

Bolita[0149] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Applications of the Linguistic OWA Operator in Group Decision Making. In: The Ordered Weighted Averaging Operators: Theory, Methodology and Applications, R.R. Yager and J. Kacprzyk (Eds.), Kluwer Academic, 1997, 207-218.

Bolita[0148] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Consensus Based on Fuzzy Coincidence for Group Decision Making in Linguistic Setting. Consensus Under Fuzziness, J. Kacprzyk, H. Nurmi, M. Fedrizzi (eds.), (International Series in Intelligent Technologies) Kluwer Academic, 1997, 121-146.

Bolita[0074] F. Herrera, J.L. Verdegay, Fuzzy Sets and Operations Research. Perspectives. Fuzzy Sets and Systems 90:2 (1997) 207-218. iconPdf.png

Bolita[0154] O. Cordón, F. Herrera, L. Sánchez, Evolutionary Learning Processes for Data Analysis in Electrical Engineering Applications. Genetic Algorithms and Evolution Strategies in Computer Science and Engineering, D. Quagliarelli, J. Periaux, C. Poloni, G. Winter (Eds.), John Wiley and Sons, 1997, 205-224. iconPdf.png

Bolita[0255] O. Cordón, F. Herrera, Evolutionary Design of TSK Fuzzy Rule-Based Systems Using (mu,lambda)-Evolutionary Strategies. Sixth IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). Barcelona (Spain), Vol. I, 509-514, 1997.

Bolita[0256] O. Cordón, M.J. del Jesus, F. Herrera, M. Lozano, An Evolutionary Paradigm for Designing Fuzzy Rule-Based Systems from Examples. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 139-144, 1997.

Bolita[0257] F. Herrera, M. Lozano, Heterogeneous Distributed Genetic Algorithms Based on the Crossover Operator. Second IEE/IEEE International Conference on Genetic Algorithms in Engineering Systems: Innovations and Applications (GALESIA). Glasgow (U.K.), 203-208, 1997.

Bolita[0258] O. Cordón, M.J. del Jesus, F. Herrera, Nuevos Métodos de Razonamiento en Sistemas de Clasificación Basados en Reglas Difusas. VII Congreso Español sobre Tecnologías y Lógica Fuzzy. Tarragona (Spain), 109-114, 1997.

Bolita Year 1996 (21):

Bolita[0156] F. Herrera, M. Lozano, Adaptation of Genetic Algorithm Parameters based on Fuzzy Logic Controllers. Genetic Algorithms and Soft Computing, F. Herrera, J. L. Verdegay (Eds.), Physica-Verlag, 1996, 95-125.

Bolita[0259] O. Cordón, F. Herrera, M. Lozano, On the Bidirectional Integration of Fuzzy Logic and Genetic Algorithms. 2nd Online Workshop on Evolutionary Computation (WEC2). Nagoya (Japan), 13-17, 1996.

Bolita[0260] F. Chiclana, F. Herrera, E. Herrera-Viedma, Preference Relations as the Information Representation Base in Multi-Person Decision Making. 5th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases Systems. IPMU'96. Granada (España), Vol. I, 459-464, 1996.

Bolita[0268] O. Cordón, M.J. del Jesus, F. Herrera, Sistema de Clasificacion con Reglas Difusas Utilizando Algoritmos Geneticos. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 95-100, 1996.

Bolita[0267] O. Cordón, F. Herrera, Un Proceso Evolutivo para el Aprendizaje de Bases de Conocimiento de Controladores Difusos. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 89-94, 1996.

Bolita[0266] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Medidas Lingüísticas De Racionalidad Para Alcanzar El Consenso En Grupo. VI Congreso Español sobre Tecnologías y Lógica Fuzzy. Oviedo (Spain), 155-160, 1996.

Bolita[0261] O. Cordón, F. Herrera, Generating and Selecting Fuzzy Control Rules Using Evolution Strategies and Genetic Algorithms. Information Processing and Management of Uncertainly in Knowledge-Based Systems (IPMU), 733-738, 1996.

Bolita[0265] F. Herrera, M. Lozano, Heuristic Crossover for Real-Coded Genetic ALgorithms Based on Fuzzy Connectives. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 336-345, 1996.

Bolita[0264] O. Cordón, F. Herrera, M. Lozano, A Three-Stage Method for Designing Genetic Fuzzy Systems by Learning from Examples. 4th International Conference on Parallel Problem Solving from Nature (PPSN IV). Berlin (Germany), LNCS-1141, 720-729, 1996.

Bolita[0263] F. Herrera, E. Herrera-Viedma, E. López, On the Linguistic Approach in Multi-Person Decision Making. International Conference on Intelligent Technologies in Human-Related Sciences, ITHURS'96. León (Spain), 205-213, 1996.

Bolita[0262] F. Herrera, M. Lozano, Adaptive Genetic Algorithms Based on Fuzzy Techniques. Information Processing and Management of Uncertainly in Knowledge-Based Systems (IPMU), 775-780, 1996.

Bolita[0080] F. Herrera, M. Lozano, J.L. Verdegay, Dynamic and Heuristic Fuzzy Connectives-Based Crossover Operators for Controlling the Diversity and Convengence of Real Coded Genetic Algorithms. Int. Journal of Intelligent Systems Vol. 11 (1996) 1013-1041.

Bolita[0157] O. Cordón, F. Herrera, A Hybrid Genetic Algorithm-Evolution Strategy Process for Learning Fuzzy Logic Controller Knowledge Bases. Genetic Algorithms and Soft Computing, F. Herrera, J. L. Verdegay (Eds.), Physica-Verlag, 1996, 251-278. iconPdf.png

Bolita[0155] F. Herrera, J.L. Verdegay, Making Decisions on Fuzzy Integer Linear Programming Problems. Fuzzy Logic Foundations and Industrial Applications. D. Ruan (Ed.) (International Series in Intelligent Technologies) Kluwer Academic, 1996, 147-164.

Bolita[0087] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, A Linguistic Decision Process in Group Decision Making. Group Decision and Negotiation. 5 (1996) 165-176. iconPdf.png

Bolita[0086] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, A model of consensus in group decision making under linguistic assessments. Fuzzy Sets and Systems 78 (1996) 73-87. iconPdf.png

Bolita[0085] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Direct Approach Processes in Group Decision Making using Linguistic OWA operators. Fuzzy Sets and Systems 79 (1996) 175-190. iconPdf.png

Bolita[0084] F. Herrera, J.L. Verdegay, Fuzzy Boolean Programming Problems with Fuzzy Cost: A general study. Fuzzy Sets and Systems Vol. 81 (1996) 57-76. iconPdf.png

Bolita[0083] F. Chiclana, F. Herrera, E. Herrera-Viedma, M.C. Poyatos, A classification method of alternatives for multiple preference ordering criteria based on fuzzy majority. The Journal of Fuzzy Mathematics 4 (1996) 801-813. iconPdf.png

Bolita[0082] O. Cordón, F. Herrera, E. Herrera-Viedma, M. Lozano, Genetic Algorithms and Fuzzy Logic in Control Processes. Archives of Control Sciences. Vol. 5 (1996) 135-168. iconPdf.png

Bolita[0081] F. Herrera, J.L. Verdegay, Fuzzy Control Rules in Optimization. International Journal of Science & Technology: Scientia Iranica. Vol. 3. no. 1,2,3 (1996) 89-96.

Bolita Year 1995 (20):

Bolita[0094] F. Herrera, M. Lozano, J.L. Verdegay, Algoritmos Geneticos con Parametros Reales. NOVATICA, May/jun 115 (1995) 36-41.

Bolita[0158] F. Herrera, J.L. Verdegay, On Group Decision Making under Linguistic Preferences and Fuzzy Linguistic Quantifiers. Fuzzy Logic and Soft Computing, B. Bouchon, R. Yager, L. Zadeh (Eds.), Word Scientific, 1995, 173-180.

Bolita[0159] F. Herrera, M. Lozano, J.L. Verdegay, Generating Rules from Examples using Genetic Algorithms. Fuzzy Logic and Soft Computing, B. Bouchon, R. Yager, L. Zadeh (Eds.), Word Scientific, 1995, 11-20.

Bolita[0161] F. Herrera, M. Lozano, J.L. Verdegay, Tackling Fuzzy Genetic Algorithms. Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan, P. Cuesta (Eds.), John Wiley and Sons, 1995, 167-189.

Bolita[0160] O. Cordón, F. Herrera, A General Study on Genetic Fuzzy Systems. Genetic Algorithms in Engineering and Computer Science, G. Winter, J. Periaux, M. Galan, P. Cuesta (Eds.), John Wiley and Sons, 1995, 33-57. iconPdf.png

Bolita[0269] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Approaching Group Decision Making under linguistic assessments. 5rd International Workshop Current Issues in Fuzzy Technologies. CIFT'95. Trento (Italy), 205-208, 1995.

Bolita[0270] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Aggregating Linguistic Preferences: Properties of the LOWA Operator. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. II, 153-157, 1995.

Bolita[0271] O. Cordón, F. Herrera, A. Peregrín, T-norms vs. Implication Functions as Implication Operators in Fuzzy Control. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. I., 501-504, 1995.

Bolita[0272] F. Herrera, M. Lozano, J.L. Verdegay, Design of a Control Rules Base based on Genetic Algorithms. 6th IFSA World Conference. Sao Paulo (Brasil), Vol. I., 265-268, 1995.

Bolita[0273] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Basis for a Consensus Model in Group Decision Making with Linguistic Preferences. Third European Congress on Fuzzy and Intelligent Technologies. EUFIT'95. Aachen (Germany), 1265-1269, 1995.

Bolita[0275] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín, SCD: Una Herramienta Gráfica para el Estudio de Controladores Difusos. V Congreso Español sobre Tecnologías y Lógica Fuzzy. Murcia (Spain), 103-106, 1995.

Bolita[0276] F. Herrera, M. Lozano, Algoritmos Genéticos Heuristicos con Codificacion Real. VI Conferencia de la Asociación Española para la Inteligencia Artificial. Alicante (Spain), 11-20, 1995.

Bolita[0274] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Medidas Lingüísticas para el Consenso en Grupo. V Congreso Español sobre Tecnologías y Lógica Fuzzy. Murcia (Spain), 309-314, 1995.

Bolita[0089] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Preference Degrees over Linguistic Preference Relations in Decision Making. Operational Research and Decisions 3 (1995) 37-48. iconPdf.png

Bolita[0095] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín, Applicability of T-Norms in Fuzzy Control. BUSEFAL 61 (1995) 28-36. iconPdf.png

Bolita[0093] F. Herrera, M. Lozano, J.L. Verdegay, Algoritmos Geneticos: Fundamentos, Extensiones y Aplicaciones. ARBOR CLII 597 (1995) 9-40.

Bolita[0092] F. Herrera, M. Lozano, J.L. Verdegay, Tuning Fuzzy Logic Controllers by Genetic Algorithms. International Journal of Approximate Reasoning 12 (1995) 299-315, doi: 10.1016/0888-613X(94)00033-Y. iconPdf.png

Bolita[0091] F. Herrera, J.L. Verdegay, Three Models of Fuzzy Integer Linear Programming. European Journal of Operational Research 83 (1995) 581-593. iconPdf.png

Bolita[0090] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, A Sequential Selection Process in Group Decision Making with a Linguistic Assessment Approach. Information Science 85 (1995) 223-239. iconPdf.png

Bolita[0088] F. Herrera, M. Lozano, J.L. Verdegay, The Use of Fuzzy Connectives to Design real-Coded Genetic Algorithms. Mathware and Soft Computing. Vo. 1:3 (1995) 239-251. iconPdf.png

Bolita Year 1994 (12):

Bolita[0282] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, Un proceso de decisión en grupo con preferencias lingüísticas y selección secuencial. IV Congreso Español sobre Tecnologías y Lógica Fuzzy. Blanes, 215-220, 1994.

Bolita[0278] F. Herrera, J.L. Verdegay, On group decision making under linguistic preferences and fuzzy linguistic quantifiers. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'94. París (France), 418-422, 1994.

Bolita[0279] F. Herrera, M. Lozano, J.L. Verdegay, Generating fuzzy rules from examples using genetic algorithms. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'94. París (France), 675-680, 1994.

Bolita[0280] F. Herrera, E. Herrera-Viedma, M. Lozano, J.L. Verdegay, Fuzzy tools to improve genetic algorithms. Second European Congress on Fuzzy and Intelligent Technologies. EUFIT'94. Aachen (Germany), Vol. III 1532-1539, 1994.

Bolita[0098] F. Herrera, M. Kovacs, J.L. Verdegay, Homogeneous Linear Fuzzy Functions and Ranking Methods in Fuzzy Linear Programming Problems. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems 2:1 (1994) 25-35. iconPdf.png

Bolita[0096] F. Herrera, M. Lozano, J.L. Verdegay, Applying Genetic Algorithms in Fuzzy Optimization Problems. Fuzzy Systems and A.I.-Reports and Letters 3 (1994) 39-52. iconPdf.png

Bolita[0097] F. Herrera, J.L. Verdegay, Fuzzy Almost Integer Variables in Integer Programming Problems. The Journal of Fuzzy Mathematics 2:2 (1994) 259-270.

Bolita[0277] F. Herrera, E. Herrera-Viedma, J.L. Verdegay, On Dominance Degrees in Group Decision Making with Linguistic Preferences. 4rd International Workshop Current Issues in Fuzzy Technologies. CIFT'94. Trento (Italy), 113-117, 1994.

Bolita[0281] F. Herrera, M. Lozano, J.L. Verdegay, El uso de conectivos difusos en el diseño de algoritmos genéticos. IV Congreso Español sobre Tecnologías y Lógica Fuzzy. Blanes, 37-42, 1994.

Bolita[0162] F. Herrera, Models and methods in fuzzy discrete programming. Fuzzy Optimization. Recent Advances. M. Delgado, J. Kacprzyk, J.L. Verdegay, M.A. Vila (Eds.), Physica-Verlag, 1994, 255-271.

Bolita[0100] J.L. Castro, F. Herrera, J.L. Verdegay, Knowledge based systems and Fuzzy Boolean Programming. International Journal on Intelligent Systems 9:2 (1994) 211-225 doi: 10.1002/int.4550090203.

Bolita[0099] E. Cárdenas, J.C. Castillo, O. Cordón, F. Herrera, A. Peregrín, Influence of Fuzzy Implication Functions and Defuzzification Methods in Fuzzy Control. BUSEFAL 57 (1994) 69-79. iconPdf.png

Bolita Year 1993 (10):

Bolita[0283] F. Herrera, J.L. Verdegay, Linguistic assessments in group decision. First European Congress as Fuzzy and Intelligent Technologies. EUFIT'93. Aachen (Germany), Vol. II, 941-948, 1993.

Bolita[0284] J.L. Castro, M. Delgado, F. Herrera, A learning method of fuzzy reasoning by genetic algorithms. First European Congress as Fuzzy and Intelligent Technologies. Aachen (Germany), 1993, Vol. II, pp. 804-809.

Bolita[0286] J.M. Cadenas, F. Herrera, J.L. Verdegay, PROBO: Un sistema interactivo de ayuda a la decisión para resolver problemas de programación lineal difusa. III Congreso Español sobre Tecnologías y Lógica Fuzzy. Santiago de Compostela (Spain), 89-96, 1993.

Bolita[0287] F. Herrera, M. Lozano, J.L. Verdegay, Un algoritmo genético para el ajuste de controladores difusos. III Congreso Español sobre Tecnologías y Lógica Fuzzy. Santiago de Compostela (Spain), 251-258, 1993.

Bolita[0288] F. Herrera, M. Lozano, J.L. Verdegay, Algoritmos geneticos con para metros reales. V Conferencia de la Asociación Española para la Inteligencia Artificial. Madrid (Spain), 41-50, 1993.

Bolita[0285] F. Herrera, M. Lozano, J.L. Verdegay, Genetic Algorithms Applications to Fuzzy Logic Based Systems. 9th Polish-Italian and 5th Polish-Finnish Symposium on Systems Analysis. Warsaw (Poland), R. Kulilowski, K. Szkatula, J. Kacprzyk (Eds.), Omnitech Press, 125-134, 1993.

Bolita[0104] M. Delgado, F. Herrera, J.L. Verdegay, A. Vila, Post-optimality Analysis on the Membership Functions of a Fuzzy Linear Programming Problem. Fuzzy Systems and Systems 53:3 (1993) 289-297. iconPdf.png

Bolita[0102] F. Herrera, J.L. Verdegay, H.-J. Zimmermann, Boolean Programming Problems with Fuzzy Constraints. Fuzzy Systems and Systems 55:3 (1993) 285-293. iconPdf.png

Bolita[0103] F. Herrera, M. Kovacs, J.L. Verdegay, Optimality for Fuzzified Mathematical Programming Problems: A Parametric Approach. Fuzzy Systems and Systems 54:3 (1993) 279-285. iconPdf.png

Bolita[0101] F. Herrera, M. Kovacs, J.L. Verdegay, A Parametric Approach for (G,P)-Fuzzified Linnear Programming Problems. The Journal of Fuzzy Mathematics 1:3 (1993) 699-713.

Bolita Year 1992 (7):

Bolita[0293] J.L. Castro, M. Delgado, F. Herrera, J.L. Verdegay, Algoritmos Genéticos con Función de Evaluación Difusa y Aplicaciones. II Congreso Español sobre Tecnologías y Lógica Fuzzy. Boadilla del Monte (Spain), 147-159, 1992.

Bolita[0292] J.M. Cadenas, F. Herrera, Estudio de un sistema interactivo de ayuda a la decisión en problemas de optimización difusa. II Congreso Español sobre Tecnología y Lógica Fuzzy. Boadilla del Monte (Spain), 175-184, 1992.

Bolita[0291] F. Herrera, M. Kovacs, J.L.Verdegay, Fuzzy Linear Programming Problems with Homogeneous Linear Fuzzy Functions. 4th International Conference on Information Processing and Management of Uncertainty in Knowledge-Bases System, IPMU'92. Palma de Mallorca (Spain), 361-364, 1992.

Bolita[0290] J.M. Cadenas, F. Herrera, J.L. Verdegay, An Interactive Decision Support System in Fuzzy Linear Programming Problems. 2rd International Workshop Current Issues in Fuzzy Technologies. CIFT'92. Trento (Italy), 19-27, 1992.

Bolita[0289] J.L. Castro, F. Herrera, J.L. Verdegay, Solving Linear Boolean Programming Problems with Imprecise Cost. First IEEE International Conference on Fuzzy Systems. San Diego (USA), 1025-1032, 1992.

Bolita[0106] M. Delgado, F. Herrera, J.L. Verdegay, M.A. Vila, Fuzzy Linear Programming Problems with Nonlinear Membership. Fuzzy Systems and A.I. Reports and Letters 1:1 (1992) 33-49.

Bolita[0105] F. Herrera, M. Kovacs, J.L. Verdegay, An Optimum Concept for Fuzzified Linear Programming Problems: A Parametric Approach. Tatra Mountains Mathematical Publications 1 (1992) 57-64. iconPdf.png

Bolita Year 1991 (5):

Bolita[0163] F. Herrera, Introducción a algunos problemas de decisión en ambiente difuso. Algunos aspectos del tratamiento de la Informacion en Inteligencia Artificial, Dpto. Ciencias de la Computacion e I.A. (Ed.), Publicaciones de la Universidad de Granada, 1991, 41-56.

Bolita[0164] F. Herrera, J.L. Verdegay, Approaching Fuzzy Integer Linear programming Problems. Interactive Fuzzy Optimization, M. Fedrizzi, J. Kacprzyk, M. Roubens (Eds.), Springer-Verlag, 1991, 79-91.

Bolita[0294] J.L. Castro, F. Herrera, Approaching Fuzzy Boolean Linear Programming Problems with Imprecise Costs. 4th IFSA World Conference. Brussels (Belgium), Vol. Computer, Management & Systems Science, 31-35, 1991.

Bolita[0295] J.L. Castro, F. Herrera, J.L. Verdegay, Estudio de problemas de Programación Difusa Biobjetivo y su aplicación al Cálculo Proposicional. I Congreso Español sobre Tecnología y Lógica Fuzzy. Granada (Spain), 59-64, 1991.

Bolita[0296] J.L. Castro, F. Herrera, J.L. Verdegay, Problemas de Programación Booleana Difusa Biobjetivo y su Aplicación a Sistemas Basados en el Conocimiento. IV Reunión técnica de la AEPIA. Madrid (Spain), 89-98, 1991.


 


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